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Last updated: September 1, 2015

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  1. Kevin Vogelsang

    Kevin Vogelsang

    Challenge Hunter (Technology + Human Behavior + Data)

    United States

    ***If you know exactly what needs to be done and don't think there's room for improvement on how it's going to be done, or if you consider the project to be easy or not particularly important, do not contact me or bother reading any further.*** I'm looking for interesting challenges that involve humans, computers, and data to test my understanding. I'm currently most interested in data visualization projects and higher level "systems analysis" projects. But, I'm always interested in problems where someone's well-being is affected. (if necessary, My Rate = Base Rate / (interesting-ness * importance)) Since graduating from MIT Engineering in 2009, I have been working a stream of challenging projects: founding startups, building web applications, marketing technical services, and on and on. Overall, I like to focus on answering the question, "how can we design better Systems to get what we want?" And in thinking about this I've amassed a lot of useful skills and knowledge in both software and just understanding how the world works (and doesn't work.) The more uncertainty you have on what needs to be done, the more help I'll be able to be. I'm very likely the most creative guy you'll ever meet, and what I like to do for fun is think and work on challenging problems.

    $111.11 /hr
    0 hours
  2. Pavel Logacev

    Pavel Logacev

    Data Science | Statistics | R Programming

    Germany - Tests: 4 - Portfolio: 3

    I have a PhD in Cognitive Science and a MSc in Computational Linguistics, as well as several years of experience in statistical data analysis and software development in R. I have developed software in pure R as well as in C/C++/Rcpp, with a focus on the implementation of machine learning algorithms and statistical techniques. I enjoy understanding all kinds of data, as well as helping others understand it and convert it into actionable intelligence. I am particularly interested in churn analysis and statistical consulting regarding usability studies or A/B testing in advertisement and e-commerce. I have experience in analyzing and reporting on data from sectors as diverse as psychology, education, health, finance, SEO and E-commerce. Most recently, I have analyzed online user behavior for, and created a Bayesian model of conversion and profitability to manage campaigns on Google Adwords. I specialize in churn analysis and survival random forests, but I can help you with anything from simple ANOVAs or linear mixed effects models in lme4 to Bayesian methods in RStan. Take a look at my code on my github profile:

    $45.00 /hr
    514 hours
  3. waldemar kwasniewski

    R Programmer, data science, data mining


    I am an experienced R programmer and data analyst, ready to use my knowledge, practice and interest in data science to find a quick, reliable and clever way to perform any task you have to be done. I can help you to extract actionable knowledge form your data, find dependencies, build predictive models, translate your concepts into formulas, and your ideas into algorithms. My main fields of expertise are: • data mining and cleansing - fluent in extracting useful data using fast and flexible tools; • market analysis, statistical computing - finding patterns in data to gain interesting insight, based on solid statistical knowledge and visualised in an approachable way. I strive for excellence in each aspect of the project, guaranteeing maximum focus on detail, providing a solution tailored to the customer's expectations and top-class communi I am looking for projects in mathematics, machine learning, signal processing

    $22.99 /hr
    0 hours
  4. David Mestre

    David Mestre

    Python, Web Scraping, Data Analysis, Data Science

    Spain - Tests: 10 - Portfolio: 2

    - Data cleaning, data analysis, modeling and simulation techniques using Python - MySQL/MongoDB/Sqlite/Sparql/Postgresql - System administration - Machine Learning - Web scraping/crawling with python - Parsing xml/csv/json - Python libraries: pylab, scipy, pandas, matplotlib, ggplot, seaborn, bokeh, numpy, csv, re, json, urllib, urllib2, socket, httplib, sklearn, BeautifulSoup, selenium, requests, lxml, xml, sys, so, subprocess - IDEs: iPython notebook, Komodo Github:

    $40.00 /hr
    1,054 hours
  5. Alejandro Naser Pastoriza

    Alejandro Naser Pastoriza Agency Contractor

    Software Developer

    Argentina - Tests: 5

    - Computer Scientist: Bachelor's degree (GPA %99.4), finishing Master's (GPA: 99%) thesis on Data Managment, "Adaptive Cache Managment for Arbitrary SQL Workloads". - Full-stack Ruby/Python Developer. - Diving into Data Science. - Experience in research & development, both in the software industry and in the academic world (Summer @ EPFL Data Intensive Systems and Applications Laboratory). I enjoy bringing the best of both worlds to combine cutting-edge theory and technology to come up with a solution for real-world problems. - Interested in Data Managment, Information Retrieval, Data Analysis & Visualization, Machine Learning, Natural Language Processing, Web Scraping, Web Development and Research papers implementation. - Familiar with: * Python, Django, Flask, Scrapy, numpy, scipy, pandas, scikit-learn, NLTK, matplotlib, ipython-notebook, bokeh, gensim. * Ruby, SciRuby, Rails, Rspec, Cucumber, Devise, MiniTest, Test Unit, HAML, ERB, Slim, Capybara, I18n, Sidekiq, Nokogiri, Will Paginate, Paperclip, Shoulda, FactoryGirl, OmniAuth, Bundler, Capistrano. * HTML/CSS, Javascript, CoffeeScript, jQuery. * MySQL, postgreSQL, redis, mongodb.

    Associated with: Cordatazo

    $22.22 /hr
    460 hours
  6. Andrey Ogurtsov

    Andrey Ogurtsov

    Biostatistician / R programmer

    Ukraine - Tests: 1

    Biostatistician with 3 years of experience. Favourite programming tools - R and SPSS. Performed works: • definitions of primary and secondary variables; • sample size calculations; • writing statistical analysis plans for phase I-IV and bioequivalence trials; • performing statistical analysis and writing statistical reports; • creating CRF; • data input and verification; • developing correspondent SOPs. STATISTICAL AND MACHINE LEARNING SKILLS: • classical methods of analysis; • general and generalized linear models; • non-linear modeling (splines, GAMs); • tree-based methods (bagging, random forests, boosting); • dimension reduction (PCA); • clustering (hierarchical, K-means); • cross-validation; • bootstrap; • multiple comparisons adjustments. PROGRAMMING SKILLS: • using R functions for wide range of statistical methods; • writing new R functions to implement desired functionality; • data wrangling with basic R functions and packages like reshape2; • data visualization (basic graphs and ggplot2); • automated report generation and reproducible research (knitr with R Markdown or LaTeX); • interactive presentations with shiny, rpanel and googleVis; • SPSS (both GUI and syntax); • SQL (basic knowledge).

    $10.00 /hr
    0 hours
  7. David Stephens

    David Stephens

    Data Analyst

    United Kingdom - Tests: 2

    Hello, I am a Data Analyst with 5+ years professional experience with a background in scientific research including publishing peer-reviewed papers. I have BSc (1st class honours) in Geographical Information Systems and Science. I am most interested in contracts that would take advantage of my R skills for data analysis and visualisation. Including: geospatial analysis, statistical modelling, data mining or building shiny data apps. A summary of my skills and experience: - Diverse types of research including geospatial analysis, statistical modelling, image analysis, GIS. - Daily use of R with experience of packages such as: dplyr, ggplot2, caret, sp, rgdal, gstat. - Developing interactive data tools using R’s ‘Shiny’ framework - Also have experience scripting in Python and SQL Statisitcs: - Linear regression, principal component analysis, t-tests. - Machine learning algorithms (random forest, neural networks) - Cluster Analysis (unsupervised classification) - Non-parametric significance testing (monte-carlo simulations) - Geo-statistical Interpolation (kriging) Other: - Image Analysis: Object-based image segmentation - Textural analysis for pattern recognition - Working with PostgreSQL/postGIS databases - Software: ESRI ArcGIS; Erdas Image; GRASS; QGIS; eCognition; SPSS.

    $35.00 /hr
    0 hours
  8. Heather Turner

    Heather Turner

    Statistical Consultant/R Programmer

    United Kingdom - Tests: 1 - Portfolio: 10

    Motivated and reliable PhD-qualified statistician with internationally recognised expertise in R programming. Over ten years experience providing statistical and programming support to investigators in statistics, social science, drug discovery, bioinformatics and agriculture.

    $100.00 /hr
    16 hours
  9. Alexey Karnachev

    Alexey Karnachev

    Computer scientist with programming skills


    I have experience in machine learning field, applied ML algorithms for social and technical data analysis.Engaged in system monitoring and abnormal conditions detection. Also, have a good skills in programming (R, Python, Java). Develop web crawlers for different purposes.

    $7.00 /hr
    0 hours