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based on 6,962 client reviews
  • $30 hourly
    I'm a data scientist with 5+ years of hands-on experience in machine learning and a strong math background (MSc. in Applied Mathematics). I can help you to build the whole ML pipeline from scratch or improve your solutions. Dealing with various tasks, such as NLP, Time Series Analysis, Computer Vision, GANs, developing bots for Stocks or/and Crypto markets, deploying APIs for ML models, etc. Skills: - Languages: Python - Frameworks: PyTorch, TensorFlow, Keras, Flask - Libraries: LangChain, NumPy, Pandas, Scikit-Learn, Matplotlib, Plotly, SciPy, NLTK, LightGBM, XGBoost - DB: MySQL, PostgreSQL, MongoDB - Version control: GIT - Other: Docker, Google Cloud, LLM, ChatGPT, LLaMA
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Scraping
    SQL
    Web Crawling
    ChatGPT
    Statistics
    Machine Learning
    NLTK
    Python Scikit-Learn
    Neural Network
    Deep Learning
    Data Science Consultation
    Python
    TensorFlow
    Natural Language Processing
    Keras
  • $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.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Quantitative Analysis
    Dashboard
    Spreadsheet Software
    Data Scraping
    R Shiny
    Data Visualization
    Data Analysis
    ETL
    Machine Learning
    Linear Regression
    Microsoft Excel
    SQL
    R
    Python
  • $45 hourly
    An experienced data scientist with a broad knowledge in Computer Science. Higher Education: Bachelor of Embedded system Engineering (2019-2022) +2 years of professional work in Machine Learning and Deep Learning, Data processing/cleaning, deploying ml models to cloud (AWS, Digital Oceans), Creating Recommendation Systems and using state-of-the-art models for Deep learning tasks. Creating an artificial customer agent chatbot using Bert and RASA. Programming Languages & Frameworks Tensorflow, Python, R, Django, Flask, Dart, Flutter, SQL, MQL, C, C++ Data Science, Machine Learning & Mathematics Probability, Caculus 1/2, Advanced Machine Learning, Deep Learning Statistical Analysis, Sentiment Analysis, Data visualization, Data Analysis. Data Bases Management & Big Data SQL Server, MySQL, PostgreSQL, MongoDB, Elastic Search, Google Big Query, Firebase, Tableau, Hadoop Experience also includes various areas of backend web development, Rest APIs and logical/critical thinking for competitive programming problems.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    SQL
    Flask
    BigQuery
    Data Analysis
    RESTful API
    MongoDB
    Django
    Deep Learning
    Machine Learning
    Keras
    Natural Language Processing
    Python
    TensorFlow
    Computer Vision
  • $50 hourly
    Hey y’all 👋 I'm Eri, a physician-informatician in training at UT Health San Antonio with professional experience in health informatics, medical data science, and applied medical AI. I'm a MD/MS candidate in the first (and only) combined MD and Masters in Artificial Intelligence program in Texas--and handful in the nation. Throughout my medical training, I've witnessed how the synergy between medicine and technology grows stronger over time, and we need the right players at the interface to know how to connect the two in order to deliver the best care for patients. My skills are: 1. Data insights - Exploratory data analysis - Data wrangling, cleaning, tidying - Feature engineering - Descriptive summary statistics and other analyses - Data visualization (Markdown, Power BI, Plotly) 2. Artificial intelligence - Machine learning (random forests, logistic regression, xgboost, etc., for classification or regression tasks) - Deep learning (Tensorflow/Keras, PyTorch, Open AI) - Explainable AI (SHAP, LIME) - MLOps (Weights & Biases) 3. Data engineering (AWS, Azure, Google Cloud) - ETL - Database management (SQL and NoSQL, such as MongoDB) 4. “Omics” analysis - Clinical data analysis - Genomic/transcriptomic/proteomics data visualization and analysis - Grant- and publication-quality data visualization, analysis, and interpretation
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Git
    Artificial Intelligence
    Data Visualization
    Biostatistics
    Big Data
    Medical Informatics
    Bioinformatics
    Deep Learning
    PyTorch
    R
    Machine Learning
    TensorFlow
    Python
    Computer Vision
  • $115 hourly
    I am a data scientist and a problem-solver. I am expert in using R and Python to develop effective machine learning models. I have experience with AWS and Tensorflow and have built multiple accurate models both professionally and academically. Recently, I developed a cutting edge machine learning model for image processing. My goal is to revolutionize your business. I believe that machine learning and automation is the path forward, and I can help you obtain value from the data you collect. If you want to innovation and creativity in your business, reach out to me.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Mining
    Exploratory Data Analysis
    Predictive Analytics
    Data Analysis
    Text Analytics
    Statistical Analysis
    Data Cleaning
    Tableau
    Python
    Machine Learning
    R
    Computer Vision
    Data Science Consultation
  • $175 hourly
    I am a highly creative data scientist / quantitative finance analyst / algorithmic trading developer with a solid background in engineering, mathematics, statistics, machine learning, data and signal processing, physics and technology development. I have expertise in backtesting and strategy development with BackTrader, QuantConnect and Trade Ideas. I program fully automated and robust stocks, ETF, Forex, options, cryptocurrencies and futures trading strategies. I can help you develop or code your custom trading bot, algorithm/robot in Python with execution through the Interactive Brokers IB TWS API. I can deploy an algorithm developed and backtested on QuantConnect to the following brokerages: Interactive Brokers, TD Ameritrade, Tradier, Trading Technologies, Bloomberg, Oanda, Zerodha, Binance, Coinbase, Kraken and Bitfinex. I can develop and backtest option trading strategies on OptioAlpga and OptionOmega. If you need to analyze or gather market data, I have experience with several data provider's API and can customize and automate your analysis with Python scripts, Google Sheet and Excel. I can also create custom scripts and indicators in TradingView as well as sending and trading alerts through Webhooks. I have good communication skills plus acute attention to detail, and strong self-motivation. I look forward to working with you!
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Bot Development
    Quantitative Finance
    SQL
    Equity Research
    Forex Trading
    API
    Data Analysis
    Trading Automation
    Artificial Intelligence
    Machine Learning
    Financial Modeling
    Quantitative Research
    Python
    Algorithm Development
  • $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.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    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
    R
  • $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.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Statistical Analysis
    Marketing Analytics
    Microsoft Excel
    Price Optimization
    Analytics
    Data Interpretation
    Business Mathematics
    Data Modeling
    Data Visualization
    R
    Statistics
    Algorithm Development
    Tutoring
    Mathematics
  • $85 hourly
    Professional, detail-oriented, and results focused research scholar and data analyst with 15+ years of experience interpreting, analyzing and visualizing data for both enterprise environment and academic setting. Facility working with variety of quantitative and qualitative packages.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Translation
    NVivo
    Online Market Research
    Academic Research
    Proofreading
    Political Science
    Microsoft Excel
    Data Collection
    Data Visualization
    Stata
    Focus Groups
    Qualitative Research
    Microsoft Power BI
    R
    IBM SPSS
    Data Analysis
    Market Research Interview
    Quantitative Research
  • $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.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Quantitative Analysis
    Quantitative Finance
    Quantitative Research
    Bot Development
    Cryptocurrency
    Econometrics
    Time Series Analysis
    Artificial Intelligence
    Forex Trading
    Investment Strategy
    Deep Learning
    R
    Machine Learning
    Python
    MATLAB
  • $55 hourly
    I am a seasoned Systems Engineer based in Argentina with a focus on advanced machine learning projects over the past six years. My work encompasses diverse areas, including Natural Language Processing, Time-Series Forecasting, Image Processing, Computer Vision, ChatBots, Generative Deep Learning, Data Mining, and Classification Models. Technical Proficiencies: Languages/Technologies: Python, R, PHP Frameworks: TensorFlow, Keras, Django, Flask, Pytorch Big Data / Database Storage: MongoDB, MySQL, SQLite
    vsuc_fltilesrefresh_TrophyIcon Data Science
    MongoDB
    Artificial Intelligence
    Data Mining
    Deep Learning
    OpenCV
    Keras
    TensorFlow
    R
    Python
    Machine Learning
    Natural Language Processing
    PyTorch
    ChatGPT
    GPT-4
  • $200 hourly
    Machine learning scientist/engineer with hands-on expertise in deep learning, computer vision, time series, data analysis, computational science, mathematical modeling, computer simulations, algorithm development, and software development. ML -- computer vision: segmentation, classification, object detection, e.g., R-CNN, unet, yolo ML -- time-series: recurrent neural networks, convolutional neural networks, e.g., LSTM, GRU, CNN ML -- general: classification, regression, prediction Development of end-to-end ML pipelines: pre-processing, model development, post-processing, model evaluation, hyper-parameter turning, model deployment Applications: Medical imaging and devices, biofluids, fluid dynamics, combustion, renewable energy, computational engineering. Technical/non-technical writing: Patents, proposals, white papers, peer-reviewed papers, presentations. Education: PhD -- Applied Math (Cornell), Postdoctoral Fellow -- Chemical Engineering (MIT) Programming: Python, C++, Java, Matlab Machine Learning: Keras, PyMC3, Scikit-learn, TensorFlow, Weka Computer Vision: OpenCV, Pillow, SimpleITK Data Science: Matplotlib, Numpy, Pandas, Scipy, Seaborn CAD/CFD: Ansys, Gmsh, OpenCascade, OpenFOAM, Overture, Rhino3D, TGrid Misc: Amazon/Google cloud, DICOM, Git, Jira, UNIX tools/admin
    vsuc_fltilesrefresh_TrophyIcon Data Science
    DICOM
    Object Detection
    Computational Fluid Dynamics
    Image Processing
    Algorithm Development
    Mathematics
    SciPy
    Python Scikit-Learn
    Python
    Computer Vision
    TensorFlow
    Convolutional Neural Network
    Machine Learning
    Deep Learning
  • $80 hourly
    🔍 If you're searching for a TOP RATED PLUS freelancer (Top 3% on Upwork) with 100% JOB SUCCESS, then you've found the right person for your project! ✅ As a highly skilled and experienced 🧑‍💻 Data Scientist with 🔥 7 years of experience in Advanced Algorithms and Problem-Solving, and 📈 4 years of experience in Machine Learning, I am confident that I can deliver exceptional results for your project. 🛠 Strong theoretical and practical experience in: • Programming Languages: Python, SQL, Bash, Java, C++, C, Prolog • Frameworks/Libraries: TensorFlow, PyTorch, Scikit-learn, Pandas & Numpy, SciPy, Flask, MatplotLib, Plotly, Seaborn, NLTK, OpenCV, Pillow, Google OR-Tools, Selenium, Scrapy • Developer Tools: Git, AWS, Docker, Kubernetes, Jupyter Notebook, Jira, Notion • Databases: MySQL, PostgreSQL, MongoDB, RedShift, BigQuery, Redis • Other: Advanced Algorithms & Data Structures, Problem-Solving 🏆 Proven track record of success, as evidenced by my participation and awards in competitive programming events such as: 1️⃣ International Olympiad in Informatics 2017 Tehran, Iran 2️⃣ Bronze medalist in Asian-Pacific Olympiad in Informatics 2018 Innopolis, Russia 3️⃣ Bronze medalist in Info(1) Cup 2018 Romania 4️⃣Place 101 out of 5005 from all around the world in Google HashCode 2018 5️⃣ Participant in ICPC SWERC region semi-final 2022 Milan, Italy 6️⃣ Participant in ICPC NEERC region semi-final 2018 St. Petersburg, Russia 🛠 Skilled in a variety of algorithms including: ✅ Machine Learning: Linear regression, Logistic regression, Decision tree, SVM, Naive Bayes, KNN, Clustering algorithms, Random forest, Dimensionality reduction, Local Sensitivity Hashing ✅ ChatGPT models and Natural Language Processing ✅ Reinforced Learning ✅ Deep Learning ✅ Graph theory: DFS, BFS, Dijkstra, A*, MST, SCC, Tree algorithms ✅ Greedy algorithms ✅ Dynamic programming ✅ Time complexity analysis ✅ And many others... I'm a quick learner of any skills that aren't listed in my profile. For more details, check my work history and client feedback on Upwork. I can guarantee you will be delighted with the work delivered and with your experience with me! Best Regards, Fadi Younes
    vsuc_fltilesrefresh_TrophyIcon Data Science
    MongoDB
    Web Development
    Artificial Intelligence
    Data Analysis
    Algorithm Development
    Problem Solving
    Python
    Neural Network
    Supervised Learning
    ChatGPT
    Artificial Neural Network
    Unsupervised Learning
    Natural Language Processing
    Deep Learning
    Machine Learning
  • $200 hourly
    I've made a career out of using data and statistical analysis to solve business problems, but I'm much more than a machine learning practitioner or SQL ninja; I'm a critical thinker and problem solver. I can't wait to learn about your needs and help you figure out how to solve your problems using the most up-to-date Data Science or Machine Learning tools. I have broad experience in Data Science, having seen many projects through from data collection to implementation. My skillset includes: - ETL, Database Architecture, Data Mining - SQL mastery using any dialect (MySQL, PostgreSQL, Microsoft SQL Server) - The Python Data Science Stack: Numpy, Pandas, SciKit-Learn, Matplotlib, Jupyter - Linear Regression, Logistic Regression, GAM Models, Econometrics - Clustering, PCA, Decision Trees and other simple Machine Learning - Complex Machine Learning models Such as Gradient Boosted Machines using XGBoost - Data Visualization in ggplot, Matplotlib, Plotly Express, Power BI, and Google Data Studio - Creating and hosting Plotly Dash and R Shiny Dashboards. Freelancing is about more than just having hard technical skills, however. Since 2019, I have been able to make a living as a full-time freelancer in no small part due to my ability to make my clients happy. In this regard I like to focus on: - Communicating in the way that works best for the client - Sending regular updates or deliverable prototypes as appropriate - Setting realistic time expectations - Clarifying project expectations early so the deliverable is what the client actually wants - Meeting deadlines (you'd think this one would be obvious!) If this list sounds like it may just be lip service, please take a look at my client feedback. I love the freedom that comes with freelancing, and I know the only way I get to keep doing it is if I have consistently happy clients. If you are looking for a Data Scientist, Data Analyst, or Machine Learning engineer, I really think I could be your guy. You've read this far you must be somewhat interested right? :) Go ahead and reach out or send me an invite to your project. I'll definitely get back to you asap and am excited to see if we can work together!
    vsuc_fltilesrefresh_TrophyIcon Data Science
    ETL
    scikit-learn
    Python
    pandas
    SQL
    Econometrics
    Machine Learning
    R
    Web Scraper
    R Shiny
  • $30 hourly
    I work as a data scientist in the fields of biology, ecology and environmental sciences. I have a background in Biology (2013-2018) and a master thesis in research in Ecology by the Autonomous University of Barcelona (2019-2020). In 2023 I obtained my PhD in Terrestrial Ecology and I am currently working as a researcher at the University of Edinburgh in colaboration with institutions such as NASA, CalTech and Stanford. I have expertise in R programming and I am also familiarized with Geographical Information Systems (GIS). I have experience in experimental design, data extraction, processing and visualization. I have theoretical expertise in statistics, and biology and I have experience writing and reviewing scientific papers. I can help you with: - Data extraction, preparation, cleaning and visualization. - Statistical analyses and machine learning models. - Scientific writing. - R programming. I am very organized, responsible, fast working and comunicative.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Analysis
    Statistical Programming
    Statistical Modeling
    Statistical Analysis
    Data Management
    Statistical Computing
    Scientific Writing
    Scientific Research
    Machine Learning
    Data Extraction
  • $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
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Regression Testing
    Statistics
    Product Analytics
    Google Ads
    Data Analysis
    Biostatistics
    Marketing Analytics
    Econometrics
    IBM SPSS
    Time Series Analysis
    Tableau
    Python
    R
    SAS
    Neural Network
  • $50 hourly
    🎓 I hold a Master's degree in Computer Science from NC State University. I have over 11 years of experience with Web & Mobile App Development, and Artificial Intelligence. 🚀 I've helped over 25 start-ups go from💡Idea to📱Product to 💰Revenue. My strength is my combination of skills - Project Management ➕ Web Dev ➕ Mobile Dev ➕ Artificial Intelligence. ✔️ Web applications - Django, Node.js, React.js, PostgreSQL, MongoDB ✔️ Mobile applications - Flutter, Java, Kotlin, Swift ✔️ Machine learning - Chatbots, Computer Vision, LLM 👉 Languages - Python, JavaScript, Dart, Java, C 👉 Backend - Node.js, Django, Flask, Falcon 👉 Frontend - React.js, jQuery, Bootstrap, HTML, JavaScript, CSS 👉 Mobile - Flutter, Dart, Java, Xcode, Android Studio 👉 Machine Learning - TensorFlow, PyTorch, Scikit, Pandas, Numpy 👉 NLP - OpenAI, ChastGPT, BERT, Pegasus, Word2vec, Spacy 👉 Computer Vision - Yolo, RCNN, OpenCV 👉 Cloud - AWS, GCP, Azure 👉 Database - Postgres, MySQL, MongoDB, Redis, etc I enjoy working on exciting products and solving complex problems. Building high-quality software is of utmost importance to me personally. I'm a process-oriented person, and most of my clients find that helpful in successfully delivering projects and sticking to timelines. Hope to work on an exciting project with you!
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Flutter
    Alexa Skills Kit
    iOS Development
    SaaS
    Web Development
    Mobile App Development
    Node.js
    Mobile App
    Django
    Web Application
    Android App Development
    React
    Machine Learning
    Computer Vision
    Deep Learning
    Python
  • $15 hourly
    **************Faster, Better and Cheaper*************** I would like to thank you for taking the time to read through my profile. A problem solver at heart, driven by a fascination with understanding relationships between people, processes and how they interact with the world around them. I’m passionate about learning and constantly feel the need to challenge myself mentally. I take particular interest in producing data driven insight that affects real world outcomes. I value your time ,quality commitments and will take whatever steps are necessary to honor them. Give me a shot and let me show what I can do for your business. I am a dedicated and smart worker. Progressive and result oriented professional. Good in problem analysis and solution driver. Love challenges!. I am a Six Sigma Consultant/Data Analyst and having more than 12 year of experience in Various industry. Expert in.. Six Sigma Statistics R - Programming Tableau Excel Expert Amazon Seller Central/Jumia/Souq You can Hire me when you need help in:- Power BI, DAX, M Language, Setup Data Alert, Power BI Services, Calculated Fields, Power Query, Power Automate, Excel, Dashboard, Data Analysis and Data Visualization. My Area of Expertise are In Power BI ✅Power BI Expert ✅Data Modeling ✅Data Transformation ✅Dynamic Measure ✅Calculated Field ✅Business Intelligence ✅Setup Data Alert ✅DAX ✅Excel Formulas Why Me? ✔ Experience of 16+ years in serving global clients. ✔ 100% Job Success. ✔ Affordable Price with 100% Satisfaction GUARANTEE. ✔ Expertise and in-depth knowledge in diverse fields. So, are you ready for your growth! 📈 Let's get started! 🚀
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Operations Analytics
    Lean Consulting
    Human Resources Analytics
    Amazon Seller Central
    Hypothesis Testing
    Minitab
    Six Sigma
    Data Cleaning
    Microsoft Power BI
    R
    Data Entry
    Tableau
  • $40 hourly
    I received a PhD degree 10 years ago for my work on the intersection of math and marine geophysics. I have over 11 years of experience in various areas of software development, data processing, and machine learning. I have experience in developing scientific and high-load industrial applications, as well as cloud-based applications. I enjoy and am skilled in dealing with new, non-standard tasks, and using innovative approaches and achieve the best performance. I have extensive experience in teamwork and am familiar with project-oriented and Agile approaches for developing everything that I do. In fact, I simply enjoy creating something that has never been before.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Embedded C
    Data Mining
    AWS CodeBuild
    Linux
    Digital Signal Processing
    AWS Lambda
    Apache Spark
    SciPy
    C++
    pandas
    Python
    Amazon SageMaker
    MATLAB
    Machine Learning
  • $50 hourly
    Competitive and ambitious Quant with exceptional analytical and quantitative abilities, degree in mathematics, and proficiency in Financial Engineering, ML, and CFA prep. Freelance experience includes MFT and HFT trading projects on Upwork. Independent and fully responsible for my workflow with experience in analysing the opportunities, finding the algorithms that have an edge and implementing them through to real world actualisation. Critical thinker motivated to excel and improve. Interests: Statistical Arbitrage, Crypto HFT Strategies, NLP. Core competencies include: • PDEs, Linear Algebra, Stochastic Calculus • Regression analysis • Time-Series Analysis • Financial Derivatives • Risk Neutral Pricing • Options Pricing • Statistical Arbitrage • Data Exploration, Cleaning, and Optimization • Machine Learning • Deep Learning • Natural Language Processing • Sentiment Analysis Programming Languages: • Python • R • C • MATLAB Databases: • SQL • MongoDB Implementation/ Visualisation Tools: • Docker • Flask • Power BI Other relevant Competencies: • Microsoft Excel • Google Sheets
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Risk Management
    Trading Strategy
    SQL Programming
    Portfolio Management
    Quantitative Analysis
    Python Script
    Data Analysis
    Derivatives Trading
    Statistics
    R
    Quantitative Research
    Machine Learning
  • $40 hourly
    I am Muhammad Gulraiz a data Engineer and working in this industry for 4 years. I am always ready to meet new people and learn new things. Create CLOUD data pipelines that can handle massive amounts of data coming from various sources. Work as the technical lead on Data Engineering projects; primary responsibilities as a Lead ETL and Data Warehouse Consultant included technical architecture and design solutions, management of onshore and offshore development teams, creation and execution of test plans, and ensuring the timely completion of technical tasks. Comprehensive and in-depth understanding of business processes, data, and systems; experience in these areas; and expertise in these areas; strong ability to convert business needs into the best possible technical solutions. Expertise: Data Integration Tools: Pentaho Data Integration Database: AWS redshift, GCP, Snowflake & PostgreSQL. ETL/Streaming: ETL pipeline, Python, Glue, Lambda, PLSQL, Apache Kafka, RabbitMQ BI: PowerBI, Tableau Programming Languages: Python, C++, Java
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Amazon Web Services
    Data Warehousing & ETL Software
    AWS Lambda
    Data Visualization
    Snowflake
    PostgreSQL
    Web Scraping
    Amazon API Gateway
    Statistics
    Apache Airflow
    Python
    ETL Pipeline
    Machine Learning
    Data Engineering
  • $80 hourly
    I have a PhD in Psychology and I have over 13 years of experience manipulating large data sets and building statistical models. I have strong experience in using R for complex data analysis involving clustering, classification, latent-class analysis, growth curve modeling, propensity score analysis, regression discontinuity analysis and predictive models. I also have intermediate level of expertise in Python and SQL. I have strong expertise in SPSS, LISREL(for SEM) and MLwIN (For multi-level modeling). Moreover, I have experience visualizing/presenting data using various softwares including Tableau. I have published a number of articles in international peer reviewed journals and have experience designing different types of studies. I'm available for any work involving data: cleaning, structuring, mining, visualizing, analyzing and reporting. Moreover, I have over 11 years of experience mentoring graduate students through the dissertation process. Thus, I enjoy doing dissertation consulting.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Analytics
    Machine Learning
    Data Modeling
    Quantitative Analysis
    Statistics
    Brand Research
    Data Mining
    Data Analysis
    Market Research
    R
    IBM SPSS
  • $60 hourly
    I am currently working as a Bioinformatician at West Virginia State University, USA. I have a PhD degree in Biotechnology (Genomics) and I have more than 10 years of experience in bioinformatics and genomics data analysis. I have substantial experience in manuscript writing (published more than 40 research articles in high impact journals including Nature journal), grant writing (received 4 grants as a PI from the US government USDA) and teaching. I would be happy to provide freelance services in bioinformatics data analysis, machine learning and deep learning, manuscript writing, training in bioinformatics data analysis, research consultation, NGS data analysis: RNA-Seq, Exome sequencing, DNAseq, Microbiome analysis, GWAS analysis, analysis of Pacbio data, Bionano data, Nanopore data, HiC data, denovo variant data, de novo assembly, transcriptome assembly, and much more.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Molecular Biology
    Workshop
    Data Analysis
    Research Paper Writing
    Biochemistry
    Manuscript
    Bioinformatics
    Sequence Analysis
    Genomics
    Biotechnology
    Genomic Data Analysis
    Research & Development
    R
    Python
  • $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.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Visualization
    Logistic Regression
    Linear Regression
    Data Modeling
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    Microsoft Power BI Data Visualization
    Machine Learning
    SQL
    Python
    Public Health
    Epidemiology
    Data Analysis
    R Shiny
    R
  • $60 hourly
    Hello, I'm Sam (Soheil), an experienced professional with a background in electrical engineering and computer engineering and a strong focus on programming, particularly in Python. With over 7 years of experience in Python programming and 5 years in Data Science, I offer my skills as a versatile backend developer and data scientist. Here are some highlights of my expertise: *Numeric analysis and visualization: Proficient in utilizing Python packages such as Pandas, NumPy, Sickit-learn, SciPy, Matplotlib, Seaborn, etc. for effective numeric analysis and visualization. *Fintech: Experienced in working with MT5 (in Python) and various financial APIs like Bloomberg, Kraken, Kucoin, and Binance. I excel in obtaining and preprocessing data, creating ML/DNN models for predictions, and conducting backtesting or paper trading to validate the models. I can also develop and deploy trading bots and strategies for different crypto/stock market APIs. *Image processing and computer vision: Demonstrated proficiency in image classification, object detection, object tracking, face recognition, and other related projects. Skilled in utilizing TensorFlow and OpenCV packages to achieve accurate results. *Back-end programming: Proficient in creating and deploying ML/DNN APIs using Flask, OpenAPI, and FastAPI, encapsulated in Docker containers. Well-versed in working with various databases such as MongoDB, MySQL, and Neo4j. Additionally, I have familiarity with AWS platforms like Sagemaker, EC2, SQS, Cloudwatch, as well as GCP. Feel free to reach out to me if you require a dedicated backend developer or a skilled data scientist and analyst for your team.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Machine Learning
    Cryptocurrency
    Bot Development
    Deep Learning
    Computer Vision
    Deep Neural Network
    Blockchain
    Data Scraping
    Data Analysis
    API
    Analytics
    Neural Network
    Python
  • $40 hourly
    I was working for a commercial bank as the Head of AI and ML Technology Development. My previous role was the Head of Market and Liquidity Risk Management Division. I was also the Teaching Assistant of Data Scraping course at the American University of Armenia. I have MS degree in Economics, I have just started my second Master's program in Data Science at Georgia Institute of Technology(one of the TOP 10 universities in the world in statistics and operational research field). I have sound experience in programming languages such as Python, SQL, Stata, Eviews, and VBA. I am also experienced in ACCA, so I will deliver astonishing financial analyses too. So you can find solutions for programming problems with me, as well as business tasks, which I can handle. Summing up: I will manage projects in programming, data science, data scraping, risk management, and financial analyses. Please feel free to contact me. Be sure you will be 100% satisfied. I can always suggest a fixed fee instead of using an hourly rate.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Mining
    Machine Learning
    Data Scraping
    Financial Analysis
    Project Risk Management
    EViews
    Python
    Econometrics
  • $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.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Analysis
    R Shiny
    Shiny
    API
    Forex Trading
    Statistics
    Analytics
    Bioinformatics
    Quantitative Analysis
    Data Scraping
    Plotly
    Machine Learning
    Data Visualization
    R
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How to Hire Top Data Scientists

How to hire data scientists

Knowledge is power, but only if you can extract it from your data. Data scientists help businesses process data and glean insights that can be used to improve their products and services and better reach their target markets.

So how do you find data science consultants? What follows are some tips on how you can find top data scientists on Upwork.

How to shortlist data science professionals

As you’re browsing available data science consultants, it can be helpful to develop a shortlist of the freelancers you may want to interview. You can screen profiles on criteria such as:

  • Professionalism. Who’s tailored their submission to speak to your business and your project? Check out their Upwork profile: How do they present themselves in general?
  • Talent. Because data scientists are part engineers, part statisticians, and part computer scientists, it should be clear from their proposal, profile, and portfolio that they have the specific mix of skills needed to do the work.
  • Experience. Has the freelancer worked for others in your industry, or handled projects like yours in the past?
  • Feedback. What do previous clients have to say about the work on their work? Reviewing feedback can give you insight into their ability to communicate, solve problems, and produce a great product.
  • Portfolio. Have they handled complex data projects before? What were the results? Each sample should provide a description, which may explain the problem they needed to solve and other project requirements. Make sure they can explain how the work in their portfolio relates to the questions you’re trying to answer.

How to write an effective data science job post

First, define what you want and the skills needed to accomplish those goals. From there, consider further breaking down the project into the specific technologies your data science pro will need to know. Use the information in your brief to create a detailed job post that will attract the type of freelancer you’re looking for. Start by defining a scope of work that focuses on three things:

  • Results: What deliverable(s) do you expect?
  • Targets: What are your deadlines?
  • Time: What are the start and end dates for your project?

You’ll also want to highlight the specific skills you’re looking for. Data science encompasses an array of fields, from computer science to statistical analysis to machine learning to data visualization. You’ll also want to make sure they’re familiar with the tools they’re going to be using on your project, whether those are statistical languages like R or Python, or database technologies like Hadoop.

Ready to harness the power of data for your business or organization? Log in and post your data science job on Upwork today.

DATA SCIENTISTS FAQ

What is data science?

Whether it’s using A/B testing to choose between two designs, measuring the performance of your marketing channels by collecting the right KPIs, or data mining the competition to gain new insights on how you can approach your target market, data scientists get you the intel you need to make informed business decisions.

Here’s a quick overview of the skills you should look for in data science professionals:

  • Data science and analytics (e.g., quantitative analysis, modeling, statistics)
  • Machine learning
  • Languages such as R, Python, and MATLAB
  • Big data frameworks such as Spark and Hadoop
  • Cloud platforms such as AWS

Data scientists help businesses leverage data to get the answers they need to succeed.

Why hire data scientists?

There’s a good deal of confusion and ambiguity around the term data scientist. A data scientist can actually describe several distinct specialties, which we’ll outline here.

  • A data analyst is someone who spends most of their time querying databases. They’re often the most junior level of data scientist, and may or may not have much experience with statistical analysis or algorithms. They’re best suited to answering ad hoc questions that can be answered by pulling data from Excel or SQL databases. They should also be able to produce basic visualizations with tools like Tableau as needed. If you already have a well-constructed database and just need someone to answer specific questions, a data analyst might be right for you.
  • A data engineer is less engaged in running specific queries than in building the systems to help provide the answers. Unlike data analysts, data engineers often work directly with developers, ensuring that data is properly being captured and stored by the relevant systems. They also ensure that scheduled processing jobs run on schedule. They are most likely to need expertise with big data frameworks like Hadoop and Spark, as well as knowledge of production-oriented programming languages like Java and Python.
  • A data scientist needs to be able to oversee complex data projects from beginning to execution. In addition to having great technical skills, they need to be able to effectively communicate their findings to others in the organization. They should also be able to manage a team. They should be able to query databases like an analyst, but also able to perform much more sophisticated analysis using statistical techniques and machine learning, depending on the task at hand.

So, before you go any further, ask yourself: What problem am I trying to solve? A data scientist can help guide your organization’s decision-making process with data. Here are some common questions a data scientist might be able to help you answer:

  • How do we improve user retention?
  • Who are our most valuable customers?
  • How can we decrease turnover among our employees?
  • What new features should we prioritize?

As you can see, these questions get right to the core of your business goals. Once you’ve settled on a question or set of questions, you can start getting into more specifics. What data will you need to answer these questions? Are you collecting that data at present? What metrics will you use to measure success?

What kind of data scientist you’re looking for will depend on a couple of things: What kind of question are you trying to answer, what the current state of your data operation is, and what technologies is your team currently using.

A lot will also depend on your current data setup. Does answering your question require you to start collecting data that you haven’t before? If so, you’ll need a data engineer to work with your dev team to make sure trackers are properly set up and that the data being collected is going to the right place. If you don’t already have a steady data pipeline, this can be a significant engineering outlay by itself. Once you’re collecting the data you need, how much will it need to be processed? If your data is messy (meaning it needs to be reformatted or otherwise transformed before it can be used) this adds another layer of complexity.

At present, the programming language Scala and the big data framework Spark are extremely valuable. According to the Stack Overflow Developer Survey, data scientists who use Scala, Spark, and Hadoop command the highest rates in the field, while those who use R, Java, and Python typically charge somewhat less.

How much does it cost to hire a data scientist?

Data science is a hot field, and qualified data scientists can charge more than other kinds of developers or business analysts. On Upwork, rates charged by freelance data scientists can range from $36 to $200 an hour with an average project cost of around $400. Keep in mind, however, that these rates go up when more specific skills, like Scala and Spark, are taken into account. That said, it may make more sense to negotiate a project fee based on the scope of your project.

Remember, aside from ad hoc queries, most data projects are long-term commitments. You’ll need someone who’s familiar with your systems and can help you measure the impact your decisions have made over time. For this reason you may also consider a retainer arrangement. Below we’ve put together a table of some common data science projects, along with some relevant skills and hourly rate ranges charged by some data scientists.

Type of Project Relevant Skills Hourly Rate
Analysis and ad hoc queries Excel, SQL, visualization $20-$100
Set up a data pipeline Java, Python, Scala, Hadoop, Spark, data cleaning, $25-$100
Build a recommendation engine Statistical analysis, Machine learning, Python, Scala, Spark $50-$210

What’s the difference between a data scientist and data analyst?

Data scientists and data analysts aren’t interchangeable, but they do both have a common goal: to draw insights from data. While their skills will overlap (in many ways, data scientists are advanced analysts), generally data scientists will have a broader and deeper skill set, especially when it comes to their business acumen. They’ll have technical knowledge an analyst won’t necessarily need on a day-to-day basis, such as deep familiarity with Hadoop, advanced statistical modeling, artificial intelligence and machine learning.

Both professionals can transform data into answers business owners need to make better decisions, but what they’re starting with and the skills required to reach those answers will vary. Data analysts can answer your business questions, but data scientists can help you formulate new questions to drive the business forward. And when it comes to complexity, chances are you’ll need a data scientist.

Let’s quickly look at what each does.

Data analysts

Data analysts take known data and glean actionable insights and answers to specific questions you have about your data. These are the pros who funnel insights from data into industries like education, healthcare, and travel to help businesses like airlines and hospitals run better, and deliver better service to customers.

Their value lies in their ability to make data (for example, data that’s been input into a CRM or exported from Google Analytics) more usable for you and your company. Generally, an analyst will

  • Clean and sort data
  • Uncover new patterns and correlations
  • Find actionable insights and package them up for business use
  • Use visualizations and interactive dashboards to present findings
  • Query data to meet specific needs
  • Create reports for key stakeholders

When it comes to unstructured data, analysts may work with a data scientist or data engineer to get help pulling new data sets for analysis.

Data Scientists

Why are most data scientists able to charge almost double the rate or salary as a data analyst? Data scientists have a broader and deeper skill set, especially when it comes to their business acumen. These pros create algorithms and models businesses use to predict future sales, make critical decisions, or launch products. They’re able to do more with more difficult data, including

  • Mining large amounts of structured or unstructured data
  • Data warehousing
  • Advanced programming, with R, SQL, Python, MatLab, and SAS
  • Statistical modeling
  • Develop machine learning and predictive analytics models
  • Work with the Hadoop ecosystem, including Hive and Pig
  • Formulating important business questions and hypotheses, then testing validity with math and statistics

A big difference is their ability to work with more complex, unstructured data—as in, data your company either doesn’t currently understand or can’t work with because it’s from multiple disconnected sources. If an analyst is primarily working with your “known data,” a data scientist is equipped to work with any of your company’s data that isn’t known or currently understood.

When a business is making a critical decision, data scientists play a key role. They test theories and hypotheses, the results of which become eye-opening insights key stakeholders can use to make predict outcomes and make more informed decisions.

How to interview a data scientist?

During the interview, be sure you take the opportunity to learn more about the data scientist’s approach to the problem, their experience, and how they’ve used creativity and talent to accomplish similar goals in the past.

Prepare your interview questions ahead of time so you can feel confident that you’ve covered all relevant points. We’ve created a list of data science interview questions you can reference, but here are some additional questions to consider:

  • “What do you think of our existing product? What’s something we could be doing that we’re not right now?” Tailor this to ask about something related to your data project—i.e. your existing data pipeline or algorithms—or to learn whether they’ve done their homework.
  • “Tell me about three data science projects you’ve worked on?” Ask about their most similar projects, favorite projects, or most recent. Listen for how they solved the initial problem, challenges that came up during the process, and what they did to address them.
  • “What’s your production timeline?” Get more details about how quickly they work, how much time they’ve spent on previous data projects, and how they receive and implement feedback.
  • “What makes a great [insert type of project here]?” Learn more about how they’ll approach your project as well as their experience with similar work.
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