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  • $78 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 10 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
    Shiny
    API
    Forex Trading
    Statistics
    Analytics
    Bioinformatics
    Quantitative Analysis
    Data Scraping
    Plotly
    Machine Learning
    Data Visualization
    Data Science
  • $300 hourly
    I am an evangelist of the power of data to support decision-making for business. I also have a special interest in supply chain (which was the focus of my PhD). I use any and all tools necessary in order to understand a project and solve it effectively. I ensure I am working on the right problem and then use my technical expertise to deliver for my clients. I have spent 5 years working as a data consultant in a range of application domains. I am SnowPro Core certified, an INFORMS Certified Analytics Professional, and have my AWS Certified Data Analytics Specialty. Part of the Upwork Expert Vetted program (top 1% of the marketplace)
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    Operations Research
    Linear Programming
    Forecasting
    Mathematics
    Business Intelligence
    Algorithm Development
    Time Series Forecasting
    Quantitative Analysis
    Supply Chain Management
    Inventory Management
    Linear Regression
    Snowflake
    Data Science
    Data Analysis
    Python
    SQL
  • $50 hourly
    I am a freelance data analyst, research/statistics adjunct professor, and educational psychology Ph.D. student with a strong foundation in statistics and data analysis. I have 6+ 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 Linear Regression Models Generalized Linear Models (i.e., logistic, poison, ordinal. etc.) Moderation and Mediation Analysis t-test ANOVA Models (ANOVA/ANCOVA/MANOVA) Linear Discriminant Analysis Hierarchical/Multilevel Regression Models Factor Analysis (Exploratory and Confirmatory) Path Analysis and Structural Equation Modeling Non-Parametric Analysis Power Analysis Robust Statistics 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
  • $150 hourly
    :: PhD :: 10+ years experience as a Psychometrician :: Associate Professor of Quantitative Psychology (Tenured) :: Corporate experience working for several test editors on test development and accreditation :: 40+ published papers in Psychology and Business journals (Intelligence, Journal of Personality, Personality and Individual Differences, British Journal of Psychology, Learning and Individual Differences, Journal of Career Assessment, Journal of Consumer Marketing, Journal of Management development, British Journal of Social Psychology, etc.), 50+ conference presentations. :: Instructs in Statistical Analysis with SPSS and R at the Doctoral, Masters and Undergraduate levels. Additional experience with Mplus and Stata. :: Developed R packages on Comprehensive R-Archive Network (CRAN). :: Corporate experience in psychological measurement in occupational contexts (occupational health, personnel selection, career advisement), scale/test validation, accreditation. As a freelance psychometrician, I specialize in the development of psychometric instruments (personality, intelligence, attitudes, etc.), with a special focus on strategies to achieve high quality psychometric testing through limiting conditions (online testing, short tests, etc.). These strategies involve high level psychometric analyses (Item-Response Theory, Confirmatory Factor Analysis, Generalized Structural Equation Modeling, etc.), which I have successfully published with and on. My consulting activity generally consists in: :: Consulting with you through calls or meetings :: Reviewing the literature to identify and compare instruments :: Developing scales and items :: Performing psychometric analyses (reliability, validity, etc.) :: Revising or writing methods/results (including tables and plots) in publication-level academic style (e.g., APA) :: Developing documents for certifications and audits :: Translating psychometric documents in non-technical language (e.g., for clients or users) :: Help get a psychometrics manuscript in shape for publication :: Tutoring students for psychometrically oriented papers and dissertations
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    Psychology
    IBM SPSS
    Stata
    Psychometrics
    Statistics
    Survey Design
    Quantitative Analysis
    Quantitative Research
    Data Analysis
  • $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
    Looker Studio
    Data Extraction
    ETL Pipeline
    BigQuery
    Business Intelligence
    Microsoft Excel
    Domo
    SQL
    Data Analysis
    Looker
    Dashboard
    Google Sheets
    Data Visualization
  • $67 hourly
    I am a professional software developer with 7 years of experience and a background in scientific research, data analysis and machine learning. I specialize in providing R software development, Shiny app design and web scraping services. My primary tool is R, which I use extensively in conjunction with Python and SQL.
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    Statistics
    API
    Dashboard
    R Shiny
    ggplot2
    Shiny
    Plotly
    Data Science
    SQL
    Data Analysis
    Data Visualization
    Data Scraping
  • $100 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.
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    Quantitative Analysis
    Quantitative Finance
    Quantitative Research
    Bot Development
    Cryptocurrency
    Econometrics
    Time Series Analysis
    Artificial Intelligence
    Forex Trading
    Investment Strategy
    Deep Learning
    Machine Learning
    Python
    MATLAB
    Data Science
  • $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
    Time Series Analysis
    ggplot2
    Convolutional Neural Network
    Artificial Neural Network
    Data Science
    Machine Learning
    XGBoost
    Random Forest
    Python
  • $75 hourly
    Please also see my blog: jiddualexander.com I'm a data scientist / analyst and an expert R programmer. I am strong with ggplot (ggplot2 data visualisation) and I am also a Shiny App developer. I can create custom dashboards for your data with intelligent analytics and interactive graphics. I program in R 6 days a week and I am very confident with all aspects of a data analysis project. I use mostly the very powerful packages created by Hadley Wickham (data import, cleaning and tidying (tidyr), manipulation (dplyr), visualisation (ggplot2) and reporting (Shiny)). The list of online certificates (below) is a good indication of the focus of my skills. To understand the power of these tools for creating dashboards I suggest you take a look at RStudio's Shiny gallery (shiny.rstudio.com/gallery/). I have participated in the Master R Developer Workshop by RStudio, thaught by no other than Hadley Wickham himself. My expert knowledge in R extends to high quality functional programming, package building, meta-programming and more. I have a Master Degree in Theoretical Physics from Sussex University (UK) and very strong understanding of analytics and machine learning, including neural networks (which I studied at Uni), support Vector machines, RandomForest, Principal Component Analysis (PCA) and much more. Including the tools to train machine learning models I also have a fundamental understanding and set of tools to apply the correct models for specific situations. I'm also a Wordpress blogger, I'm not a Wordpress specialist but I do know specifically how to combine R and Wordpress and can help you post blogs directly from your R console with just a few lines of code.
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    Data Modeling
    Data Cleaning
    Data Visualization
    ggplot2
    Shiny
    Data Analysis
    Artificial Neural Network
    Data Science
    Machine Learning
  • $70 hourly
    I am a data scientist with academic training in epidemiology and 5 years of working experience in data analytics for both government organizations and consulting firm. I have experience on those projects: - Developing data visualization products using R Shiny, Microsoft PowerBI or Tableau - Conducting observational studies using health administrative data such as HCUP NIS, Truven MarketScan, electronic medical records, etc. - Building prescriptive or predictive models (mixed effect model, logistic regression, clustering, decision tree, etc.) - Web scraping for data acquisition - Reports automation I excel at listening to clients' needs and delivering projects on time and within budget.
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    Data Visualization
    Logistic Regression
    Linear Regression
    Data Modeling
    Forecasting
    Microsoft Power BI Data Visualization
    Machine Learning
    SQL
    Python
    Public Health
    Epidemiology
    Data Analysis
    Data Science
    R Shiny
  • $35 hourly
    Data Analytics developer 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. Academia 4. Tech 5. Pharma 🤝 My service when you hire me ➡️ Optimize your Data Workflow Architecture & Warehouse: ✔️ AWS: S3, Lambda, ECS, Glue, EMR, Redshift, DynamoDB ✔️ Programming: Python, R, SQL, Spark Develop Dashboard to Automate Reporting: ✔️ RShiny ✔️ Python Dash ✔️ AWS QuickSight ✔️ Google Data Studio Drive Insights through Statistical Analysis and Data Viz: ✔️ Python: Pandas, Matplotlib, Seaborn ✔️ R: Tidyverse, ggplot, ggpubr ✔️ Notebooks: Jupyter Notebooks, RMarkdown ✔️ A/B Testing, Time-Series Analysis, Multi-Regression ✔️ Supervised Machine Learning 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
  • $45 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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    Linear Regression
    Experiment Design
    Exploratory Data Analysis
    Statistical Process Control
    Biostatistics
    Survey Data Analysis
    Modeling
    Survey Design
    Statistical Analysis
    Statistics
    Hypothesis Testing
    Minitab
    Data Analysis
    SAS
  • $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
    Tableau
    Python
    SQL
    Microsoft Excel
    Excel VBA
    Artificial Intelligence Ethics
    R Shiny
    Data Analysis
  • $40 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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    Google Analytics
    BigQuery
    Microsoft Azure
    Marketing Analytics
    Data Modeling
    Data Science
    Analytics
    Business Intelligence
    Machine Learning
    SQL
    Microsoft Power BI
    Data Analysis Expressions
    Python
    Data Analysis
  • $55 hourly
    As an R Shiny developer, I specialize in creating user-friendly data visualization apps. With experience in crafting dashboards and interactive interfaces, I enjoy making complex data accessible. My goal is to deliver practical solutions that align with clients' needs. Let's work together to turn your data into a clear and engaging story using R Shiny.
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    SAS
    PostgreSQL Programming
    ggplot2
    Data Analysis
    Data Visualization
    Web Scraper
    Shiny
    Microsoft Excel
    Data Mining
    Data Science
    Excel VBA
    Excel
    SQL
    R Shiny
  • $210 hourly
    Expert Vetted & Top Rated Plus Freelancer! Summary of Skills: Looking to provide data driven insights to companies and people using applied mathematics, statistics, and human ingenuity. My primary language is R, but also use Excel extensively and for business compatibility. Also, have SQL experience. Previously worked for a Fortune 500 tech company (Symantec in internet security) doing business statistics and data analysis. Graduate of Claremont Graduate School with a Masters in Mathematics in 2013. Graduated from Santa Clara University in Finance and Mathematics with an emphasis in applied math and minor in physics. Looking to help people and companies gather and interpret data using mathematical and statistical techniques. Brief Background: In recent years, I have been providing consulting in a variety of analytic fields including technology, healthcare, gaming, financial, legal (patents and data research for court cases), and others. I make sense of your data so you can spend more time making informed decisions or asking deeper level questions. Since college I have tutored a wide variety of people in math from middle school to the MBA level. I have covered subjects including, calculus, statistics, and multi-variable regression modeling. At Santa Clara I worked in the Drahmann Center as a tutor to help my fellow students with their classwork and learning, specifically in math.
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    Statistical Analysis
    Marketing Analytics
    Microsoft Excel
    Price Optimization
    Data Science
    Analytics
    Data Interpretation
    Business Mathematics
    Data Modeling
    Data Visualization
    Statistics
    Algorithm Development
    Tutoring
    Mathematics
  • $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
  • $35 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
    Data Analysis
    Data Extraction
    GNU Octave
    Python
    Machine Learning
    Quantitative Analysis
    SQL
    Data Scraping
    MATLAB
    Statistics
  • $30 hourly
    11+ Yrs of end to end Data analytics experience 💎 Top Rated PLUS, 5900+ 🅷🅾🆄🆁🆂 135+ 🅿🆁🅾🅹🅴🅲🆃🆂 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 (𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁) 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 (𝗣𝗟𝟯𝟬𝟬) 🏅 Top 1% of Tableau Developers 🏅 Top 1% of PowerBI Developers Open for a long-term opportunity Notable Stats on Upwork 🏅 Top 3% of Google Data Studio/Looker Developers 🏅 Top 3% of Alteryx Designer 🏅 Top 10% of Automation/sracpping expert 🏆 TOP RATED Tableau,PowerBI and Alteryx specialist in 2021,2022 🏅 Excel and Spreadsheets Expert 🏅 Zoho and Looker Expert 🏅 D365 CRM and SharePoint Expert 💎 Top Rated PLUS | 🕐 Fast Turnaround I have diverse experience in statistical data analysis, data visualization, Business analytics and automation, machine learning model building, and model validation. I am a business consultant with an academic background in Engineering (from 🇮🇳). I have 11 years of experience working with numerous corporate clients across Asia, Europe and the Americas. 🌟WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Client Reviews: It is my purpose to provide VALUE to all of my clients and build a relationship with you in order to make for a great project. As you can see from my reviews, my clients speak from their heart when describing their experience working with me. I intend to leave that impression on every person I have the pleasure of working with. ✅ Communication: From my experience as a business consultant, communication is one of the most important things when working together. Honest and sincere communication. I make it a responsibility of mine to be as responsive as possible to ensure a smooth working process. ✅ Mastery: As Don Miguel Ruiz said in The 4 Agreements, always do your best. I always go the extra mile to make sure the solution I build are flawless and attractive; I want to be confident in every solution I showcase on my portfolio. I'm excited to work with you 🟢 GO GREEN 🟢 • Data Analysis/Visualization Software: Power BI, Tableau, Datorama, Klipfolio, Qlicksense, Domo • Programming languages: R, Python, SQL • Database : MySQL, Microsoft SQL, Oracle, MongoDB • Big Data: PySpark, Big Query • Server side Programming: Django, Flask • Cloud Server : AWS • ETL : Alteryx, SSIS • Machine Learning & Data Mining & DL : Regression, Classification, Clustering, Text Mining, CNN, RNN models CERTIFICATIONS 🏅 Tableau Desktop Specialist Certified 🏅 Microsoft Certified: Power BI Data Analyst 🏅 Google Data Studio Certified 🏅 Alteryx Designer certified 🏅 Microsoft Certified Professional (MCP SQL) 🏅 Excel and Spreadsheets Expert 🏅 Zoho and Looker Expert 🏅 D365 CRM and SharePoint Expert If you are looking for a professional with qualities such as ‘value provider’, ‘project enabler’, and ‘problem solver’, then you have arrived at the absolutely right place.
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    Market Research
    Snowflake
    Data Analytics
    Data Modeling
    Database Design
    Microsoft Power BI Data Visualization
    Data Mining
    SQL Programming
    Alteryx, Inc.
    Python
    Dashboard
    Data Visualization
    Looker Studio
    Tableau
  • $50 hourly
    I am an experienced developer with building scalable data driven systems for wide variety of industries. My expertise is python, flask, flutter, Angular
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    Amazon Web Services
    Data Structure
    Flask
    Docker
    AWS Lambda
    Serverless Computing
    Kubernetes
    AWS CloudFront
    R Shiny
    Shiny
    Python
  • $50 hourly
    I am a Geographic Information System (GIS) professional, specialized at developing scripts and applications for processing, analyzing, and visualizing geospatial data. I work primarily with free and open source solutions such as GDAL/OGR, Python, R, QGIS, and PostGIS, and pride myself on attention to detail, problem solving ability, writing well documented and efficient code, and punctual delivery of results. I have an enthusiasm for finding intelligent solutions to geoprocessing and spatial analysis problems, and can rapidly resolve issues with complex workflows, ETL, and processing large datasets. With an academic background in ecology and environmental science (to masters level), I am particularly interested in work in the natural sciences, and also anything related to my passion for outdoor recreation and hiking. I am a British expat living in Ontario, Canada. My expertise includes: - GDAL/OGR + GEOS command line tools (e.g. ogr2ogr, gdal_translate) - Python and R for geoprocessing/ETL, spatial analysis, mapping, web apps (shiny, flask) - Spatial SQL and database administration with PostgreSQL/PostGIS, SpatiaLite - Styling and serving raster and vector tiles with Tileserver, Geoserver, Tilemill, mapnik + mod_tile, tippecanoe, maputnik etc - Extracting and querying OSM data e.g osm2pgsql - Designing thematic or cartographic maps with QGIS - JavaScript maps with mapbox GL, open layers, leaflet, Google - Road network routing with networkx, igraph, pgRouting - Querying REST APIs e.g. Google Maps, Twitter - Working with Linux based servers (e.g. Ubuntu), and AWS
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    Bash Programming
    Digital Mapping
    Geospatial Data
    Mapbox
    Remote Sensing
    Python
    PostGIS
    Leaflet
    R Shiny
    GIS
    Data Analysis
    QGIS
    SQL
    PostgreSQL
  • $60 hourly
    I have been a freelancer for the past 7 years in different platforms. My services include data analysis, experimental design, software development-mostly but not exclusively in scientific scope. My strongest front is developing experiments and analyzing complex datasets. Programming Languages: • MATLAB (EEGLAB, Psychtoolbox) • Python • Javascript (Pavlovia) • R Softwares: • Excel • SPSS • Psychopy • Open Sesame Statistical Analysis Assistance Statistical models that I mostly use are: • GLM (All types of ANOVA, nested factorial ANOVA, Multiple and Simple Regression) • Non-parametric (Kruskal Wallis, Friedman's ANOVA, Mann-Whitney U) • Goodness of fit to a given distribution (gamma, normal, lognormal, etc.) Research Methods Assistance: I have expertise in research methods and statistical analyses (Ph.D. candidate in experimental psychology), especially in fields of psychology and neuroscience. We can create a research design from scratch if you need one. If you need a task for your experiment (stroop, go/gonogo, oddball, flanker etc.) , I can provide that for you via MATLAB (Psychtoolbox) or Python (Open Sesame, Psychopy-Pavlovia). You can find a more detailed description of my work below. Further Details of Available Services DATA SCREENING & PREPROCESSING • Survey/behavioral type of data (reformatting, missing data, outlier screening, violation of assumptions, reliability, factor analysis) • EEG or single neuron spike train data (artifact rejection, ICA, IIR filtering, wavelet convolution, peri stimulus histogram, etc.). DATA ANALYSIS & STATISTICS • Questionnaire data (Correlation, Simple & Multivariate Regression, Chi-Square, Factor Analyses etc.) • Behavioral data (reaction time, accuracy, omission via ANOVA or non-parametric tests) • EEG data (time-frequency analyses, inter-trial coherence analyses, ERPs, connectivity by phase coherence) • Single neuron data (entropy, mutual information estimation, correlograms) • Biological simulations (Matlab Code)
    vsuc_fltilesrefresh_TrophyIcon R
    Academic Writing
    Research Papers
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    Statistics
    MATLAB
    IBM SPSS
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    🚀 𝐓𝐎𝐏 𝟏% 𝐔𝐩𝐰𝐨𝐫𝐤 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 💯% 𝐉𝐎𝐁 𝐒𝐔𝐂𝐂𝐄𝐒𝐒 🚀 Are you searching for a skilled professional to elevate your business operations and enhance customer interactions through intelligent chatbot solutions? Look no further! I am a dedicated ML Engineer and AI enthusiast specializing in Python API integration, GPT (ChatGPT, Whisper), and various OpenAI solutions. With a strong background in Artificial Intelligence and NLP, and having pursued my studies at CentraleSupélec (one of the top engineering schools in France), I have developed expertise in building chatbots using Langchain, OpenAI API, and open-source models on HuggingFace. My services encompass a wide range of chatbot development needs: 🌟 Are you facing challenges in developing chatbots using Langchain, OpenAI API, or open-source models on HuggingFace? 🌟 Do you require expert assistance in seamlessly integrating chatbot functionalities into your website or application? 🌟 Are you looking to create a personalized chatbot that effortlessly understands and responds to user queries? 🌟 Do you desire to optimize the performance and accuracy of your existing chatbot solution? 🌟 Have you encountered any errors or issues in your chatbot's functionality that demand immediate troubleshooting? Rest assured, I am here to offer comprehensive solutions and unwavering support for all your chatbot development needs. Why choose me? As a Creative Python API Integration and Python solution expert, I bring a wealth of experience in working with GPT Langchain, Pinecone, Weaviate, FAISS, and other LLM / VectorStores. Here are the technologies I specialize in: ✔️ GPT Apps development using Python, Langchain, LLM (ChatGPT / GPT 4 / HuggingFace models), VectorStores (Pinecone, Weaviate, FAISS, ...) ✔️ Automation and integration using ChatGPT API. ✔️ Python solutions using ChatGPT API, Whisper API, GPT 4 model, and other OpenAI API services. ✔️ Integrating OpenAI's ChatGPT, and GPT 4 API to take user prompts. ✔️ Prompt Engineer with a great experience in designing a variety of problems for a variety of AI Use cases. My commitment lies in crafting seamless and intuitive conversational experiences that consistently surpass the expectations of my esteemed clients. Together, we can create an intelligent chatbot solution tailored to your unique requirements, driving unprecedented success. If you are ready to unlock the transformative potential of chatbots and revolutionize your business, please feel free to reach out to me. Let's collaborate and make your vision a reality.
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    Office 365
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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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