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  • US$75 hourly
    Hi! I am a Data Scientist (M.S. Operations Research) with 9+ years of experience developing data-centric solutions that create business value. From python to excel, user facing web applications to backend data collection and cleaning, I have experience across the data science spectrum: • Data Collection (API, Web Scraping, Document Parsing) • Data Manipulation (JSON, HTML, XML, Excel, CSV) • Data Visualization (Static and Interactive) • Modeling (Inference and Prediction) • Automation • Dashboard Design (Shiny, Excel) I have previously developed solutions using Python, R, SQL, VBA, Excel, and Linux. Most of all, I am passionate about using data to solve problems and improve processes.
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    Quantitative Analysis
    Data Analysis
    R Shiny
    Data Scraping
    Spreadsheet Software
    Machine Learning
    ETL
    Data Science
    Linear Regression
    Data Visualization
    Dashboard
    SQL
    Python
    Microsoft Excel
  • US$60 hourly
    I am a freelance statistical consultant/data analyst and an educational psychologist (Ph.D) with a foundation in statistics and data analysis. I have 8+ years of experience in research/data analytics, social and behavioral science research, and teaching college students (both at the undergraduate and graduate level). I am fluent in numerous statistical analysis programs such as SPSS, R/Rstudio, and JASP. I enjoy conducting quantitative analysis and problem-solving. Please feel to contact me with all your research and data analysis inquiries. Educational and Research Background: I am currently an educational psychology Ph.D. Student. I have both my master's degree and a bachelor's degree in psychology. I have conducted numerous research projects revolving around the identity formation of emerging adults' college students. I have a year's worth of experience as a research analyst intern where I conducted data analysis for numerous population health-based projects which topics included: resident burnout, dystocia, ventilation survivability, clinician bullying preparedness, the hospital-based prevalence for medical cases (i.e. domestic violence, lead poisoning, immunization records, and child abuse) and medical cases NYC GIS mapping (i.e. lead poison, eating disorders, domestic violence, etc.). My master thesis examined the differences in vocational identity and coping strategies among emerging adults in college by their current employment status and work experiences. Main Services Includes (but not limited): Statistical Analysis Creating Data Visualization Graphs & Tables for Statistical Results Writing APA-Style Statistical Reports Writing General Summary for Statistical Results Creating PowerPoint Presentations for Statistical Results Statistical Programs/Software Skills: SPSS R/RStudio JASP Jamovi GPower Excel Statistical Analysis Skills Include: Descriptive Statistics Data Visualization (Univariate, Bivariate, and Multivariate Visualizations) Data Cleaning/Feature Engineering Missing Data Imputation Correlation Analysis Linear Regression Models Bayesian Inference Generalized Linear Models (i.e., Logistic, Poisson, Ordinal. etc.) Regularized Regression Models (Ridge, Lasso, &E Elastic Net) Moderation and Mediation Analysis t-test Analysis ANOVA Models (ANOVA/ANCOVA/MANOVA) Linear Discriminant Analysis Multilevel Modeling/Hierarchical Linear Modeling Generalized Multilevel Modeling/Generalized Hierarchical Linear Modeling Factor Analysis (Exploratory and Confirmatory) Path Analysis and Structural Equation Modeling Non-Parametric Analysis Power Analysis Robust Statistics Survival Analysis & Cox Regression Meta-Analysis & Meta-Regression Modeling Ecological Inference Time Series Analysis (ARIMA, SARIMA, VARIMAX) ITEM Response Theory Supervised Machine Learning Algorithms (Linear Regression, Logistic Regression, Decision Trees, etc.) Unsupervised Machine Learning Algorithms (Kmeans, K nearest Neighbors, Apiori etc.) Other Skills: Advanced in Microsoft Office Programs (i.e. Word, Excel, PowerPoint) Proficient with Python Programming language Proficient with online survey distribution programs such as Qualtrics, Survey Monkey, Google Survey, and REDCap Proficient with digital movie maker programs such as Windows Movie Maker and I-Movie
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    Data Analysis
    Statistical Analysis
    Statistics
    Tutoring
    Quantitative Analysis
    Hypothesis Testing
    Logistic Regression
    Data Visualization
    Machine Learning
    IBM SPSS
    Linear Regression
  • US$68 hourly
    I am an experienced data scientist who has worked in Bioinformatics and Business analytics. I build automated trading strategies in my spare time. I've been programming in R daily for over 15 years and that's where I do most of my data analysis. I have a lot of experience with machine learning and data visualizations, mainly in R and Shiny. Working in a diverse set of fields has given me experience with many different types of data and obtaining it from many different sources. Thereby making me an excellent data miner, and knowing how to transform that data efficiently.
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    Data Analysis
    R Shiny
    API
    Forex Trading
    Statistics
    Analytics
    Bioinformatics
    Quantitative Analysis
    Data Scraping
    Plotly
    Machine Learning
    Data Visualization
    Data Science
  • US$95 hourly
    An experienced, independent, and commercially minded scientist with a documented history of working in neuroscience. Results-oriented with strong technical and commercial abilities. Strong analytical skills, including data visualization, interpretation, scientific writing, and presentation development/delivery. Skilled in delivering passionate scientific communications and presentations to peers and non-experts. Fond of teaching basic biology to students beginning their academic careers.
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    Publication Design
    Grant Writing Consultation
    Biology Consultation
    Science
    Scientific Illustration
    Science & Medicine
    Resume Design
    Resume Development
    Resume Writing
    Manuscript
    Data Analytics & Visualization Software
    Editing & Proofreading
    Scientific Writing
    Scientific Computation
  • US$60 hourly
    I hold a PhD in Quantitative Psychology from the University of Virginia (UVA) and a B.S. in Psychology with minors in both Mathematical Science and Statistics from the University of North Florida (UNF). I have worked as a member of the OpenMx structural equation modeling software development team, partnered with the World Health Organization on modeling global healthy aging between countries, and have spent the last few years working at an NSF funded AI Institute at the university of Colorado Boulder.. I have 15+ years of experience with statistical analysis and mathematical modeling, differential equation solving, structural equation modeling, factor analysis, machine learning, data visualization, R, SPSS, and other areas of applied mathematics.
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    Statistical Analysis
    Quantitative Analysis
    Academic Research
    Survey Design
    Regression Testing
    Statistical Computing
    Statistics
    Machine Learning
    Mathematical Modeling
    Quantitative Research
    Linear Regression
  • US$60 hourly
    I am a statistician with more than 10 years of experience working as an independent consultant. My expertise areas are design of experiments, modeling and data analysis. I have experience with R, SAS, SPSS and Minitab. I have a degree and a PhD in Statistics from the National University of Rosario (UNR). In 2009 I received my BA in Statistics and in 2016 I finished my PhD in Statistics. My doctoral thesis addressed issues of design of experiments and was carried out under the mentorship of Prof. Christopher J. Nachtsheim of the University of Minnesota, USA. Since 2011, I provide consultancy and teach courses in companies and industries on specific topics in the area such as design of experiments and statistical process control. Likewise, provide biostatistical consulting to different institutions and professionals who work in areas related to health and clinical research. Between October 2019 and November 2021, I was part of the IQVIA Biostatistics department. Between April 2010 and March 2021, I worked as a professor at the Faculty of Economic Sciences and Statistics of the National University of Rosario (Argentina) in the subjects Design of Experiments, Sampling Methods in Censuses and Surveys, Data Collection and Primary Treatment of Information, among others. I have also taught postgraduate courses in various master's and doctoral programs.
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    Experiment Design
    Statistical Process Control
    Biostatistics
    Modeling
    Survey Design
    Linear Regression
    Exploratory Data Analysis
    Survey Data Analysis
    Statistical Analysis
    Statistics
    Hypothesis Testing
    Minitab
    Data Analysis
    SAS
  • US$50 hourly
    "Vignesh's understanding of end client business requirements and converting that to deliverable is quite strong." "Very well done job! Vignesh proved to have excellent skills and an ability to find solutions" "Vignesh went beyond my expectations in everything he did with regard to Tableau and BigQuery Integration." Overall Experience - 6+ Years Expertise in Tableau and experience in Data Visualization tools, including PowerBI, Qlikview, Google Data Studio, Slemma - 6+ Years experience in Data Processing using SQL, R, Python, PySpark, BigQuery, Redshift ETL Tools (Alteryx, Dataiku) - Top Rated Freelancer in Upwork for 4+ years - Have worked for 20000+ hours, 80+ clients
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    Amazon Redshift
    Snowflake
    Data Analysis
    BigQuery
    Alteryx, Inc.
    Exploratory Data Analysis
    Data Science
    Data Modeling
    SQL Programming
    Data Visualization
    Python
    Looker Studio
    SQL
    Tableau
  • US$150 hourly
    I have extensive experience in insurance, actuarial science, computer programming, dashboards, and analytics. I enjoy building shiny apps!
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    Predictive Analytics
    R Shiny
    Artificial Intelligence Ethics
    Visual Basic for Applications
    Microsoft Excel
    Python
    Data Analysis
    SQL
    Tableau
  • US$60 hourly
    I’m a Certified Data Analytics and Business Intelligence Specialist, with a background in economics, management, econometrics and a Master degree in Marketing Management. I have been helping businesses, from startups to large public corporations, to gain insights from their data and make better decisions for more than 14 years. I am passionate about Data and my client's challenges. I enjoy pushing the envelope, answering hard business questions, solving difficult problems, optimizing business processes, writing clean and efficient pipelines and informative Data Visualizations. My certifications: - Microsoft Certified: Data Analyst Associate (H859-1477) ; - Microsoft Certified: Power Platform Fundamentals (H680-4568) ; - Google Analytics Individual Certification (ID: 43650393) ; - Google Tag Manager Fundamentals ; - SAS Customer Intelligence 360 certification I am experienced in the following fields and technologies: - Business Intelligence and Analytics: R, Python, Pentaho, DAX, T-SQL, MS-Excel - Data Mining and Integration: SAS Data Mining, Pentaho Kettle, Knime, SSIS, Apache Airflow, ETL on Python, Azure Functions for ETL, Power Automate, Data extraction via API, Setting up API using Flask and Plumber - Data Warehouse and Database development: Azure SQL Data Warehouse, SQL Server, Postgresql, MySql - E-commerce and Web Analytics: Google Analytics and API, Google Tag Manager, Google Ads and API, Facebook Analytics and API, Acoustic, SAS Customer Intelligence 360, SEO Marketing, Web scraping, Data Mining of Social Media, Market Research, Advanced Metrics dashboard - Big Data: Hadoop, Hive, Spark, BigQuery, Databricks - Data Visualization and Applications: Power BI, Google Data Studio, Tableau, R Shiny Apps, Plotly Dash, Dynamic Rmarkdown notebooks, Apache Superset, Power Bi custom Visuals, Power Bi custom connectors - Machine learning and Time Series Forecast: Advanced Linear Model, Random Forest algorithm, Scilik-Learn, Keras, Tidymodel & Caret, Parallel training using azure clusters, I also lead a well-trained team of data analysts and data scientists, ready to be allocated if needed. All members go under a strict selective process and confidentiality contract.
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    Data Modeling
    Microsoft Azure
    Analytics
    Machine Learning
    Data Science
    SQL
    Google Analytics
    Python
    BigQuery
    Business Intelligence
    Data Analysis Expressions
    Marketing Analytics
    Microsoft Power BI
    Data Analysis
  • US$25 hourly
    I graduated in economics in 2016. Next year I began studying for my master's degree application exam. My objective was to learn statistics and finance. So I was accepted and started my master's degree in 2018. Unfortunately, the institution I picked did not have a focus on statistics and finance. During my last semester, my frustration and problems with my advisor left me somewhat unmotived to finish my dissertation. So I went my master's degree. Since my graduation days, I have studied coding. I always thought that having the ability to gather, process, and analyze large amounts of data would be valuable in today's world. My first coding experience was with MATLAB and C/C#. MATLAB, my brother used to work with it, and I used to fiddle around to learn how to code ( did nothing special ). C/C#, I did a two-week tutorial I found online. Although I never used these two program languages later, they helped teach me some concepts in programming. While in my graduation, I started using the program languages R and Python. R I used due to its extensive statistical packages support, and the second to its more general usability. During My master's degree, I found myself doing some paid R coding. Usually, it was simple data inference, like running some simple code to find the best linear regression model with variable permutation. Furthermore, I did have some coding experience with Python in helping some research groups in reading SQL databases and scraping online data. After I exited my master's degree, early 2020, I did freelance coding data analysis ( ex.: Inflation prediction models ), machine learning ( ex.: House prediction models in Rio de Janeiro ), and data scraping. I have a Github page with examples github.com/marcoaurelioguerrap ( Although still in Portuguese, my native language. ). If you need statistical models for prediction, inference, or data to be scraped, or organized I might be helpful. Other knowledge I have are Risk Management ( VaR, ES calculations ), stock and options market backtesting, options price models ( BS, Monte Carlo, and SABR ), test for forecast Bias, regressions ( OLS, Logit, probit, Tobit, panel data, time series, GMM, ARIMA, GARCH ). less
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    Economic Analysis
    Economics
    Data Analysis
    Data Mining
    Data Scraping
    Statistics
    Selenium
    SQL
    Data Science
    Machine Learning
    Python
    Linear Regression
  • US$40 hourly
    Analytics engineer with 3+ years of experience leading data-driven solutions from data architecture, dashboards, and statistical analysis with professional experience working in a Fortune 500 company 🖊️ I have worked with clients ranging coming from ➡️ 1. E-Commerce 2. NGO 3. Research 4. Fast-growing Startups 🤝 My service when you hire me ➡️ ✔️ Optimize your Data Warehousing / Orchestration in AWS / GCP ✔️ Robust and efficient data warehouse modeling in DBT ✔️ Develop Data visualization/dashboards ✔️ Drive Actionable Insights for your businesses through data ✔️ Data integration with third-party data integration apps ✔️ Tools: Python, R, SQL, DBT, Airbyte Let's connect and I will help you solve your problems!
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    AWS Glue
    Amazon Redshift
    Amazon Web Services
    AWS Lambda
    R Shiny
    Docker
    Git
    A/B Testing
    Python
    Tableau
    SQL
    Data Visualization
    Data Science
    Machine Learning
  • US$35 hourly
    I´m an industrial chemist with experience in downstream processes, wastewater treatment, data visualization, and scientific writing. I have over ten years of experience in both academia and as a consultant. During those years, I have learned quite a few programming languages during my Master's and Ph.D. in Chemical Engineering (primarily data crawling and data analysis). I am the author of a published R package (both on CRAN and in a peer-reviewed journal), widely used for data analysis of aqueous two-phase systems (LLSR package). Here on UpWork, I can help you collect, interpret and present your data using one of several available tools on R or Python. I am more than used to working remotely and as a freelance for clients all around the globe. We can set up voice or video calls and using, instant messaging and emails to improve our communication and achieve outstanding performance for your project. If you decide to hire me, here is what you would do : 1. First, click the invite button to invite me to your job 2. Once it is accepted, I will jump on the phone with you 3. We will discuss all the details together So, if it sounds good for you, click the button, and we can start! I wish you a wonderful week! --------------------------------------------------------- I have experience in the following: Program: - R; - Python; - Docker; - Postgresql; - GIT; Environment: - R Shiny; - RMarkdown. Package: - DataExplorer; - dplyr; - Ggplot2; - knitr, - Lubridate; - leaflet, - Numpy; - Pandas; - Plotly; - tidyr; - Tidyverse;
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    API
    Data Analysis
    Sentiment Analysis
    CircleCI
    Snowflake
    Data Science
    Data Mining
    Django
    dbt
    Beautiful Soup
    Dash
    Data Scraping
    SQL
    Python
  • US$50 hourly
    1. Advanced R Shiny Apps 2. Javascript, CSS & HTML, integrating with R shiny apps 3. R Markdown/ flexdashboard reports, automation 4. R Packages 5. HTMLWidgets with R 6. Website/ blog with R ** No Assignments/ tests/ homework please, owing to Ethical Issues. I enjoy working with the aforementioned topics, but my domain isn't confined to them only. Basically, anything related to R programming and I am up for it! A statistician turned developer and an R lover, that would be me! By the dint of Allah the Almighty, I have been coding in R for ~5 years now and have learnt some tricks, still a long way to go though! Ever since my introduction to R, Shiny & the wonderful community, I never looked back. I may have worked with Python for about a year, but I call myself a full time R developer now. Being a Statistician, I used to analyse data, find hidden insights and present it to the mass people using reports and workbooks. Now I do almost the same thing, only with Dashboards and Web Applications, and of course, with R! Alhamdulillah, I have a website which is focused mainly on R. If one has the time, I'd say please pay a visit. (The link should be somewhere in the profile, I'm not sure where!) A tiny achievement, An Honorary Mention in the Shiny-Contest-2020, hosted by RStudio, for an app titled 'Life of Pi'. One may find it in the portfolios section. That's pretty much it. Do connect if you feel like it. Zauad
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    CSS
    RStudio
    Biostatistics
    Data Science
    R Shiny
    Data Analysis
    ggplot2
    JavaScript
    Dashboard
    Data Visualization
  • US$60 hourly
    I am a data scientist with 10 years of experience. I hold a BSc in Economics and a MSc in Data Mining both from the University of Buenos Aires. Upwork Badges: Expert-Vetted and Top-Rated Plus - Top 1% in the platform Below are some of the common task I'm consulted with: - SFT esperience with LLMs such as Mistral 7b, Mixtral MoE, Llama2 models, T5, - Prompt engineering with openai models (GPT-3.5, GPT-4) and open source models (Mixtral ). - Deep learning for NLP - Exploratory data analysis, Statistics, Data Visualization - Machine learning for Marketing use cases - Time series forecasting - Quantitative Finance - Machine learning for finance/trading - Applied Statistics Programming Languages - 10 years of experience - Python: keras, tensorflow, pytorch, huggingface, numpy, scikit-learn, pandas, opencv, spacy, openai, langchain, transformers, sentence-transformers - SQL - R New clients often hire me for one project that helps them get to know how I work, this is normally the start of a long term work relation. Expect integrity, fluid communication in English, technical proficiency and long term support.
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    ggplot2
    Data Analytics
    A/B Testing
    Exploratory Data Analysis
    Data Analysis
    Statistics
    Predictive Analytics
    Python
    pandas
    Data Science
    Bayesian Statistics
    Data Science Consultation
    Deep Learning
    Machine Learning
  • US$50 hourly
    I am an experienced Data Engineer and R Shiny Developer with a strong background working with Fortune 500 companies and leading consulting firms. I specialize in building scalable data pipelines, developing data models, and creating interactive data applications using technologies like Python (PySpark), R, R Shiny, SQL, SAS, and Power BI. I have hands-on expertise with ETL processes, CI/CD pipelines, and cloud-based platforms such as Databricks and Teradata. I’ve also worked extensively in data integration, analytics, and business intelligence, helping organizations unlock actionable insights and optimize their data-driven decision-making processes. I am passionate about delivering high-quality, efficient solutions that meet both technical and business needs. Let’s collaborate to bring your data projects to life.
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    Visual Basic for Applications
    PostgreSQL Programming
    Databricks Platform
    PySpark
    Python
    Data Analysis
    Data Mining
    R Shiny
    Data Science
    Data Visualization
    SAS
    ggplot2
    Microsoft Excel
    SQL
  • US$75 hourly
    ⭐⭐⭐ Expert-Vetted, top-1% talent on Upwork ⭐⭐⭐ Are you struggling to develop or optimize your R Shiny applications? If yes, then you are at the right place. As an experienced R Shiny developer and bioinformatician, I can help you develop, audit, or optimize your R/Shiny applications. With my expertise in UI/UX development and data science, I can provide custom solutions that are both functional and visually appealing. WHY ME ----- ✅ Over 12 years of programming experience in R and 8+ years of experience developing Shiny applications ✅ PhD in Plant Biology from UT Austin and over 6 years of postdoctoral research experience. ✅ Advanced and rapid developer of Shiny applications, with a flexible and adaptable approach that allows me to handle steep learning curves with reasonable time frames. ✅ My background in biology and bioinformatics, and the domain-specific knowledge necessary to develop software solutions will help to meet your specific business needs. WHAT I OFFER ----- ✅ R Shiny application development, audit, or optimization (base Shiny, Golem, or Rhino) ✅ R package development, audit, or optimization ✅ Plumber API development ✅ Bioinformatics pipeline development (Docker-based systems for deployment to AWS or GCP) ⭐ I am committed to going above and beyond for my clients and always strive to deliver high-quality projects on time and within budget. Have questions? I’m just a message away from you! 🤝
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    Statistical Analysis
    SQL
    Machine Learning
    Git
    Microsoft Excel
    Big Data
    Data Mining
    R Shiny
    Data Science
    Docker
    Data Visualization
    Data Analysis
    Dashboard
    Bioinformatics
  • US$138 hourly
    Cornell/MIT educated data scientist with financial modeling and digital analytics experience at Fortune 500 companies. • Academic experience as TA/RA at MIT and Cornell University. • Advanced R, Python, SPSS, SAS, Tableau, SQL, MPlus. Some of the projects I have done are: • Time series analysis, financial forecasting and other econometric methods • ANOVA, MANOVA, GLM, SEM in social sciences • Biostatistics and medical research including analysis of clinical trials • Regression modeling • Machine learning and various statistical models in big data • Valuation, investment analysis and financial modeling in the investment banking industry • Risk modeling • Computer vision • Digital analytics such as campaign analysis for display (Facebook Ads, Google Ad Manager, etc.), customer insights (Facebook Insights), lead tracking (CallRail), SEM/PPC (Google Ads), and web traffic (Google Analytics) analysis
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    Regression Testing
    Statistics
    Product Analytics
    Google Ads
    Data Analysis
    Biostatistics
    Marketing Analytics
    Econometrics
    Neural Network
    Time Series Analysis
    Tableau
    Python
    SAS
  • US$145 hourly
    I offer excellent data analysis and visualization using R or Python. Furthermore, i will conduct your Machine-Learning project. That can include data cleaning, manipulation, feature engineering, evaluation and deployment of machine-learning-models (also Deep Learning), and explaining of black box models. Need help with statistics in your studies? I provide you with well-explained input. Need help with your R-code? I will debug your script and/or give a code review. ✔️ more than 60.000 lines of R-code experience ✔️ R-package development, R-shiny, and R-markdown experience ✔️ SQL and Python coding ✔️ Theoretical and practical understanding of machine learning algorithmics ✔️ Master of Science Statistics with focus on Data Science ✔️ Finished 9th in Data Mining Cup 2017 out of 202 Teams Feel free to contact me anytime, I am curious to hear about your challenges. I am looking forward to working with you!
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    Code Review
    Data Analysis
    PostgreSQL
    Software Debugging
    ggplot2
    Time Series Analysis
    Data Science
    Machine Learning
    XGBoost
    Random Forest
    Python
    Convolutional Neural Network
    Artificial Neural Network
  • US$150 hourly
    I will work with you to analyze your needs/data and design complete data analytics solutions which provide you automated insights with full picture into your sales, marketing, operational efforts, etc. In addition, I have extensive experience with Domo bricks (Javascript, HTML & CSS). List of data sources I worked with: ✅ Amazon RDS ✅ Bing Ads ✅ Facebook (Meta) Ads ✅ Facebook Page Insights ✅ Google Ads ✅ Google Analytics ✅ Google BigQuery ✅ Hubspot ✅ Infusionsoft ✅ Instagram Ads ✅ Klaviyo ✅ LinkedIn Ads ✅ Maria DB ✅ Microsoft SQL Server ✅ MySQL ✅ QuickBooks ✅ RSS ✅ Salesforce ✅ Shopify ✅ SurveyMonkey The focus in my work is on creating both visually appealing and clear, user-friendly dashboards. With a Masters degree in Business and a diverse background in marketing, finance, operations, e-commerce and account management, I can relate to the majority of my clients and understand their true needs faster. Specifically, I can help you: Identify the strategic objectives for your business Define Key-Performance-Indicators (KPIs) and appropriate measures across different teams in your organization Custom analytical tools used on a daily, weekly or monthly basis for you, your employees or co-workers Complex and intricate financial models including forecasting, predictions, ROI calculators for product features and sales team for any stage of business Visualizing and managing large sets of complex data for executive reporting, data manipulation, and data analysis Complex formula development (some of my excel formulas take half a page or more) I discovered my true passion for analytics about 9 years ago while working for e-commerce business. Since then I dedicated myself to every opportunity to learn, evolve, and establish myself in this field. I fell in love with financial modeling, predictions, forecasting and other data science techniques later in my career. I’m eager to learn about your business and goals, but even more so to share the best way analytics can help you win. I can’t guarantee we’ll be a fit, but I can guarantee you won’t regret hearing how I can help. (You’ll probably get some free learnings too!)
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    LookML
    Data Extraction
    ETL Pipeline
    Looker Studio
    BigQuery
    Business Intelligence
    Microsoft Excel
    Domo
    SQL
    Data Analysis
    Looker
    Dashboard
    Google Sheets
    Data Visualization
  • US$35 hourly
    I am a data scientist who developed different end-to-end data solutions for the Internet Of Things. I have the tools to develop your IoT, time series or data science projects. I focus on providing clean and reusable code that becomes an asset to your solution. Skills ------ * Professional developer for data science in R, Python * Expertise in time series: forecasting, classification, anomaly detection * Methodology for data science project: from data preparation to experiment * Focus on your KPI * Clear communication, present technical results simply Work experience -------------------- I have four years of industry experience in data science. At the energy research institute in Singapore, during three years. I have developed analytics for a smart building management system that was installed on 30+ industrial and academic buildings. My work in forecasting accuracy and optimization had a significant impact on the operational costs. As a freelance for more than a year, I have developed for SunCulture a credit scoring algorithm for farmers. The algorithms implemented considerably reduce the risk of credit lending. Education ------------ I have a master in statistics and machine learning from Telecom SudParis a selective French engineering school. This master included rigorous mathematics, statistics and probabilities courses. A good background in statistics is needed to convert data to sensible interpretations and actions.
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    Digital Signal Processing
    Internet of Things
    SQL
    Time Series Analysis
    Python
    TensorFlow
    Deep Learning
    Statistics
    Machine Learning
  • US$80 hourly
    𝗦𝗛𝗢𝗥𝗧 𝗕𝗜𝗢 I am an economist with a wealth of experience in consulting, spanning over 15 years in the field of Economics and Financial Analysis. I combine technical expertise in quantitative tools and and consultant's eye and capacity for communicating findings to non-technical audiences. My expertise has been leveraged by a diverse range of clients, including multilateral organizations, public and private corporations, as well as state-owned enterprises. I am also an experienced tutor in everything related to Economics, having helped dozens of students from several countries. 𝗖𝗢𝗡𝗦𝗨𝗟𝗧𝗜𝗡𝗚 𝗖𝗔𝗥𝗘𝗘𝗥 𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦 ✅ Financial and economic modeling, coupled with the valuation of investment projects, accounting for cumulative capital and operational expenditures exceeding $4.5 billion. ✅ Viability analysis of investment projects. ✅ Proficiency in conducting economic analyses of privatization endeavors and facilitating the development of public-private partnerships. ✅ A proven track record in various forecasting methodologies. ✅ Robust demand estimation and market sizing skills. ✅ A history of offering uniquely-tailored solutions to the clients needs. ⭐⭐⭐⭐⭐ Top Rated on Upwork 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗬 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘 🎯 Retail & Wholesale 🎯 Tech 🎯 Finance 🎯 Water & Sanitation 🎯 Healthcare 🎯 Transportation & Logistics 🎯 Real Estate 🎯 Business Services 🎯 Arts 🎯Construction Supplies 🎯Street Lighting 🎯Education 𝗪𝗛𝗬 𝗬𝗢𝗨 𝗦𝗛𝗢𝗨𝗟𝗗 𝗛𝗜𝗥𝗘 𝗠𝗘 𝗜𝗡𝗦𝗧𝗘𝗔𝗗 𝗢𝗙 𝗔𝗡𝗢𝗧𝗛𝗘𝗥 𝗙𝗥𝗘𝗘𝗟𝗔𝗡𝗖𝗘𝗥 🏆 Client Feedback: I focus on providing value to clients by building relationships and catering to THEIR needs. This is how I routinely get stellar feedback! 🏆 Over-Delivery: My strategy is NOT to over-promise just to get a contract. Instead I focus on over-delivering. This way I give more than I have promised, not less! 🏆 Responsiveness: I work hard and communicate frequently with my clients. This is essential to keeping everyone on the same page and make sure they are satisfied. 🏆 Reliability: I make sure clients can count on me to always give my best. This lets me face some of the toughest challenges in my area of expertise and attain solid, often unexpected results! Feel free to explore some of my past projects in my portfolio. If you'd like to explore how we can collaborate to address your unique needs, please don't hesitate to get in touch. Your challenges are invitations for us to team up and innovate.
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    Social Impact Assessment
    Valuation
    Financial Analysis & Valuation
    Economic Analysis
    Financial Modeling
    Microsoft Excel
    Forecasting
    Economics
    Causal Inference
    Data Analysis
    Econometrics
    Stata
    Linear Regression
  • US$55 hourly
    Not currently taking new contracts as of 08/22/2024, as I've transitioning out of freelance work into a full-time position. • I'm trained in a variety of statistical analysis methods, particularly logistic regression and multilevel modeling, and can identify and implement which approach will best answer your question. • I have experience cleaning, annotating, and documenting various types of data sets. • I make my data analyses and visualizations as reproducible as possible, using tools like Quarto/R Markdown. • I have significant experience in R; medium experience in Python, Excel, Git, and MATLAB; and some experience with AWS, Docker, Linux, HTML/CSS, and Java. I also have experience reading and translating out of SPSS, SAS, and Stata. • My research work has been in cognitive psychology and and psycholinguistics. Outside of questions about language, learning, and cognition, that means my scientific training is in how to operationalize and measure abstract concepts like beliefs and behavior in a way that's clear to the researchers, the participants, and the audience. If you're a student: I'm happy to do tutoring work, and I regularly help people with the statistical programming aspect of their research projects, but I will not do homework, tests, or anything else that falls outside of standard university academic honesty policies.
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    Psycholinguistics
    Linguistics
    Psychology
    Academic Writing
    Logistic Regression
    Linear Regression
    Statistical Analysis
    Data Collection
    Data Annotation
    Data Cleaning
    Data Visualization
    Data Analysis
    Python
    Quantitative Research
  • US$130 hourly
    Quant in major Investment Banks, 1B+ Hedge Funds and asset management companies, and Crypto Fund Manager. I have strong knowledge of the financial markets, particularly in Trading Strategies, Asset Allocation, Investments, Derivatives, and Risk. I am a motivated self-starter, analytical, in love with complex tasks and empirical solutions, delivering actual value to investment companies. My skills vary from time series modeling to Machine Learning, Asset Allocation strategies, Systematic Trading, Investment Research, and more.
    vsuc_fltilesrefresh_TrophyIcon R
    Quantitative Analysis
    Quantitative Finance
    Quantitative Research
    Bot Development
    Cryptocurrency
    Econometrics
    Artificial Intelligence
    Forex Trading
    Investment Strategy
    Time Series Analysis
    Deep Learning
    Machine Learning
    Python
    MATLAB
    Data Science
  • US$50 hourly
    Since 2002 I have been employed at the Department of Economic Forecasting and Analysis at Wroclaw University of Economics. Currently at the post of an assistant professor. Although this work gives me a lot of satisfaction, I am looking for opportunities to test the suitability of my knowledge and skills (and maybe acquire new) in a real business. My current work is shared more or less equally between scientific research and teaching. In addition, occasionally I do expert analyses. I also own websites www.szandula.pl (a website for communication with students ) and www.wzory.info (portal featuring equations and tables used in different areas of science – as for now in the early stage). Both in my research and teaching work I use a number of different programs and programming languages such as: a) MS Office and Open Office family: Excel, Access, SQL, VBA; b) statistical and econometric software: Statistica, SAS, SPSS, R, OX, GRETL; c) computing environments: Matlab & Simulink, Octave; d) internet oriented: HTML, Webharvest , XPATH , JavaScript , BeanShell; e) graphics programs: Corel Draw, GIMP. RESEARCH The area of my research interests include mainly the theory of forecasting with particular emphasis on analogue methods, and time series analysis. In practical applications I mainly deal with the study of irregular cyclical fluctuations in the micro and macro scale. Earlier, I dealt with the demographic processes . I am the author of over 20 publications. In addition to publication in scientific journals I prepared and made available on my website workbooks using VBA macro for calculating analogue forecasts . TEACHING I hold both lectures, classes and computer labs. Since two years also in English. Up to now, I've been responsible for following courses: fundamentals of quantitative methods, mathematical statistics and econometrics, forecasting theory and computer simulation , forecasting and simulation , financial forecasting , financial analysis. I am the author of a prototype tool for automated checking students' knowledge of different courses. Macros written in VBA generate for each student individual set of exercises as well as their solutions. Student's solution is automatically checked . This system has been used successfully for 7 years in an increasing number of courses. It currently supports : financial analysis , mathematical statistics and econometrics, financial forecasting , fundamentals of quantitative methods. I plan to launch it on e-learning platforms. EXPERT ANALYSIS Occasionally I undertake expert analysis on demand. I have been involved in the preparation of, inter alia: - for the Wrocław City Office: forecasts of the development of different economic sectors in Wroclaw. - For the County Office of Złotoryja: statistical analysis of a survey on labor force participation of people with disabilities in the Złotoryja county. My task was firstly to write software using the language VBA and SQL to automatically obtain statistical measures for the desired queries and secondly to interpret some of the results. - For individuals: statistical studies of various surveys.
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    Equations
    MATLAB
    Pay Per Click Advertising
    Amazon PPC
    Microsoft Access Programming
    Probability Theory
    Quantitative Research
    Economic Analysis
    Visual Basic for Applications
    Pricing
    Analytics
    Econometrics
    Statistics
    Microsoft Excel
  • US$30 hourly
    I'm a quantitative analyst and statistical programmer with a PhD in mathematics from the University of Wisconsin-Madison. I have experience with Python and R, as well as a working knowledge of SQL. I have a particular interest in social research and policy (for example housing, demography, poverty, education, health), so if you have such a project I'd love to hear from you.
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    Statistical Programming
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    Data Extraction
    GNU Octave
    Python
    Machine Learning
    Quantitative Analysis
    SQL
    Data Scraping
    MATLAB
    Statistics
  • US$75 hourly
    I have extensive experience conducting analyses in R, SPSS, AMOS, JASP, and jamovi. I also use R for visualizations, and can make R Shiny apps. I am experienced with descriptive statistics, t-tests, correlations, regression (linear, multiple, logistic, lasso, etc.), ANOVA, mediation, moderation, principal components analysis, factor analysis, structural equation modeling, discriminant analysis. I also can create a wide range of figures (e.g., box plots, bar charts, heatmaps, histograms, scatter plots, biplots, etc.), depending on what is required. My interests and previous experience include -omics research (e.g., metabolomics, lipidomics, etc.), psychology, cognitive neuroscience (including a lot of EEG data), and sports analytics. I have a Ph.D. in psychology, and currently work in statistics.
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    Data Analysis
    IBM SPSS
    Mathematical Modeling
    Bayesian Statistics
    Academic Writing
    AP Style Writing
    Statistics
    Scientific Research
    Analytics
    Data Visualization
    Statistical Analysis
    Quantitative Analysis
  • US$150 hourly
    I am a full-stack data scientist and data engineer with a track record of over 2500 hours on Upwork, and I've accumulated countless more offline. My experience spans a wide range of technology stacks within the data science and data engineering domains. From developing machine learning models to optimizing data pipelines, I bring a wealth of expertise to the table. Front end: ui/ux, django, flask, streamlit Back end: micro service, rest api, database performance optimization CI/CD: jenkins, gitlab, Kubernetes, Docker Security: secure file transferring and oAuth etc Web scraping: Scrapy, Rotation Proxy, Selenium, Beautifulsoup Cloud: AWS, GCP, Azure Dashboarding: Tableau, PowerBI, Plotly, Dash Data Science: Python, R, SQL, NLP/NLG, AIGC, GPT-3, ChatGPT, HuggingFace, ML Predictive Modeling, Reinforcement Learning, Knowledge Graph Neo4j, Recommendation Engine, Deep Learning, Computer Vision, OCR, GAN, DeepFake, Stable Diffusion, Signal Processing, Voice Clone, Chatbot, Sports betting, Price Optimization, Time Series Analysis/Forecasting, Crypto, Solidity, Tokenomics, Research: Published around 100 papers on conferences and in peer-reviewed journals. --- Besides my Ph.D., I obtained several certificates from world-renowned institutions in data science, helping me form sound hypotheses and clear conclusions combined with a concise visualization. In addition, I have hands-on experience on many real-world data science projects for clients from all over the world in different industries. I have worked as a consultant for many start-ups on various projects and I have solid background on both research and development. --- Some of the feedback clients provided to me: ⭐⭐⭐⭐⭐ "Very efficient and timely with his work, Stijn put together a very comprehensive analysis of the data and charted it in a very orderly fashion. Obviously very good with more sophisticated stats and working with raw data, and great to work with." ⭐⭐⭐⭐⭐ "Stijn was very professional and extremely skilled. He went much beyond the instructions that were laid out and provided outstanding work. A real pleasure to work with. I honestly can't recommend him enough!" ⭐⭐⭐⭐⭐ Stijn worked on this project for 2 to 3 weeks, he is not only a highly skilled professional, but he is also someone that will make you smarter along the way. ⭐⭐⭐⭐⭐ Most freelancers I tried to work with for this project told me it was impossible to accomplish, it goes to show that Stijn was simply on a higher level. ⭐⭐⭐⭐⭐ "Stijn was super knowledgeable, he is a true professional. For this project he took the time to meet and brainstorm, see what the needs were and how we could go around some of the issue we may encounter. The final product is even better that what I could ask for, I also became a lot more educated and am looking forward to keep on working with Stijn! I have never met someone as skilled and knowledgable about the subject as Stijn."
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R vs. Java vs. Python: Which Is Right for Your Project?

When it comes to data science, there’s no one best programming language. There are a few standouts, however, each with its own specialties, as well as packages, libraries, and extensions that further enhance their capabilities.

In this article, we’re going to take a closer look at three of the most popular languages used by data scientists: Java, Python, and R. You’ll learn the basics of each, as well as how to tell which one is right for your data needs.

R: beloved by data scientists

Originally developed by statisticians as an open-source alternative to expensive suites of statistical software like SAS and MATLAB, R is one of the most popular languages for data analysis. It’s been likened to Excel on steroids, able to sift through reams of data, execute sophisticated analyses, and produce publication-quality graphs and tables. What makes R special? In short, it’s a tool built with data analysis in mind.

As data science has become critical to many businesses, R’s popularity has skyrocketed. Organizations as large and diverse as Google, Facebook, Microsoft, Bank of America, and the National Weather Service have all turned to R for reporting, analysis, and visualization.

A key component of R is that, unlike object-oriented programming languages like Java or Python, R is a procedural language, meaning it relies on a series of step-by-step subroutines to execute a programming task. The key difference here is that R uses procedures to operate on data, where object-oriented programming bundles procedures and data together as parts of objects. The advantage of procedural programming is that it gives clear visibility into complex operations with lots of dependencies, which can be important for many data analysis tasks. The tradeoff is that this often requires more lines of code than object-oriented languages.

Another benefit of R? It’s supported by a vibrant community of developers, especially academic statisticians and data scientists.

Java: speed at scale

Java is powerful, portable, and scalable, which makes the platform perfect for building enterprise-scale applications and supporting rapid growth. Java also includes many tools, collectively known as the Java Platform. This robust, open-source development environment includes libraries, frameworks, APIs, the Java Runtime Environment, Java plug-ins, and the Java Virtual Machine (JVM). Taken together, these tools simplify coding with Java and support development at every level, giving developers everything they need to build Java web systems and applications.

Java’s speed allows it to outperform other languages and frameworks, which is a big part of why it’s so well suited to large-scale applications. These performance gains are what prompted Twitter to shift its search engine to Java from Ruby on Rails and move more of its back-end stack to the Java Virtual Machine.

Another key component of Java is that it comes as close to being 100% object-oriented as you can get. With that comes all the benefits of object-oriented programming, from ease of development to modular software to flexibility and extensibility. As one of the most widely known programming languages, it’s easy to find and hire talented developers. What’s more, Java’s massive community of developers means that there’s lots of excellent documentation around.

Python: built for flexibility

Like Java, Python is built to handle high-traffic sites. It’s fast and efficient, with an emphasis on code readability. Python’s motto is “there should be one—and preferably only one—obvious way to do it.” That can mean there’s a bit of a learning curve as developers learn the ins and outs of Python syntax, but the upside is an ability to express concepts with fewer lines of code than would be possible in languages like C++ or Java.

Python’s other great strength is an extensive set of libraries that allow it to perform a wide array of tasks. In particular, the libraries NumPy and matplotlib enable Python to perform many of the analysis and plotting functionalities of MATLAB. These libraries have since been built upon by a number of other libraries that extend Python’s functionality even further.

In short, Python represents a compromise between R and Java, combining the sophistication of the former with the speed and scalability of the latter.

Which language is right for your data needs?

The short answer is that it depends on the kind of work you’re trying to do. A good rule of thumb might be if your work is closer to mathematics and statistics, R is probably your best bet. If your work is closer to programming, go with Python, and if you’re building enterprise-size products, take a look at Java. That said, many data scientists are increasingly turning to combinations of languages that allow them to take advantage of the individual strengths of each.

R

Great For:

  • In-Depth Statistical Analysis. Given that R was developed by and for statisticians, it’s no surprise that R is ideally suited to in-depth statistical analysis, whether you’re working with sensor data from an IOT device or elaborate financial models. What’s more, it’s very well supported by the statistics community through the CRAN repository, which contains literally thousands of packages that enable you to perform more elaborate analysis and visualization tasks.
  • High-Quality Reporting. Well-produced images convey more than numbers alone, and R places a great emphasis on easily producing high-quality graphs and charts. On top of that, its basic capabilities can be extended with a number of packages, including ggplot2, ggvis, googleVis, and rCharts. The Shiny framework also allows you to turn those visuals into interactive web applications.

Not Great For:

  • Performance. R was designed with data scientists in mind, not computers. As such, R is considerably slower than Python or Java.
  • Creating large-scale data products. In these instances, data scientists will often prototype in R and then switch to a more flexible language like Java or Python for actual product development.
  • Ease of Learning. If your background is in math or statistics, R’s array-oriented syntax can make implementation relatively straightforward. If you have programming experience, however, this approach is likely to seem counterintuitive.

Java

Great For:

  • Excellent Performance on Large-Scale Systems. Java’s speed makes it best for building large-scale systems. While Python is significantly faster than R, Java provides even greater performance than Python. Speed and scalability are why Twitter, LinkedIn, and Facebook rely on Java as the backbone of their data engineering efforts.
  • Faster Development Time. The Java Virtual Machine (JVM) is a great environment for developing custom tools quickly. The programming language Scala runs on JVM and is popular with data scientists for its combination of object-oriented and functional programming.

Not Great For:

Statistical modeling and visualization. Between these three languages, Java is definitely the least suited to hardcore analysis. Though packages do exist to add some of these functions, they’re neither as advanced nor as well supported as the ones you’ll find for Python and R.

Python

Great For:

  • Workflow Integration. Python’s flexibility makes it a popular choice for developers who need to apply statistical techniques or data analysis in their work, or for data scientists whose tasks need to be integrated with web apps or production environments. If you’re looking for a single tool to manage your entire data-related workflow, Python is a great option.
  • Machine Learning. The combination of specialized machine learning libraries (like scikit-learn, PyBrain, and TensorFlow) and general purpose flexibility makes Python uniquely suited to developing sophisticated models and prediction engines that plug directly into the production system.

Not Great For:

  • Highly specialized data tasks. Though the Python community is catching up, there are still hundreds of R packages that have no Python equivalents. If you’re looking for very specific capabilities, you might be better off with R.

Hiring a data scientist?

Now that you understand the differences between some of the major languages in data science, who do you need to set up and maintain your data infrastructure? Data scientists come from a variety of backgrounds. Some specialize more in performing statistical analysis, while some are more focused on building products that interface directly with production systems. Explore data scientists on Upwork.

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