Over the past 15 years I've worked with projects ranging from Startups to Fortune 100s. From C++ to Scala, past assignments involved: - Protocol Design in C++/Delphi - Java API Publishing - Maven Plugin Development - Distributed Systems using RESTful backends - Scala / Akka Design - Jenkins Plugins Writing On a daily basis, I spend between Systems Architecture, Build Planning, for Hadoop and Restful Backends, specially under Amazon Web Services. Oh, I'm also a Cloudera Certified Administrator and Developer. Favorite platforms include Scala, Python and General Java. See my full profile for more descriptions and feel free to browse my github and bitbucket profiles at the addresses below: http://github.com/ingenieux http://bitbucket.org/aldrinleal Favourite customers involve pragmatic teams, with contant online presence, and direct involvement with the end customer, and a problem involving legacy and the next generation Feel free to discuss our next project - I'm always looking for the next challenge!
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On average, 28 Data Science projects are completed every quarter on oDesk.
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Time needed to complete a Data Science project on oDesk.
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I have 7 years of experience in data analysis. I'm the Chief Data Scientist and founder of Cabaceo.com, a data science consulting company in Ann Arbor, Michigan, US. I also teach people how to do data science using the R programming language at www.MasterR.org, where you can receive high quality training materials for free. I used to work as an analytic consultant for FICO, where I built scorecard for Picture People to predict customer response rate to their marketing campaigns, which doubled their ROI. I also built customer segmentations for Canadian Tire Bank, which gave the executive team a holistic understanding of their customers for the first time and resulted in a chapter of a book. More recently, I have built a linear regression model to explain the relationship between interest rate of peer-to-peer loans and borrowers' characteristics using data from LendingClub, a two-level clustering-and-randomForest model to predict human physical activities using smartphone data, a logistic regression optimization based on precision and recall, a R-implementation of the cross-sectional regression and quintile-portfolio construction methods published in the Journal of Economic Literature. I have a masters degree in Biostatistics from the University of Michigan and a bachelor's degree in mathematics from New College of Florida. I'm an avid MOOC taker, constantly learning new techniques and tools in data science and machine learning. I took all the courses in data science, statistics and machine learning from Coursera, Udacity and Edx. I respond all my messages in less than 24 hours.
Juan Luis Herrera Cortijo Agency Contractor
Do you have some question that requires a statistical or machine learning answer? No problem. As a data scientist with 15 years of experience, I have the technical knowledge and the communication skills needed to solve your problem and, most important, give an answer that you can apply to your field of interest. What I offer to you is a full data analysis/machine learning stack, including: - Getting and organizing your data. - Selecting the most relevant statistical or machine learning technique for your case. - Applying the technique to your data. - Writing a report that explains every step taken and makes a interpretation of the results. All written with enough technical detail, but that doesn't require a depth statistical knowledge to follow. - Assistance in applying the results to your specific field. I can do all this using any or several of the following: R, MATLAB, Python, MySQL. Everybody can apply an out of the shell statistical algorithm to some benchmark data. But I'm an expert in the tricks needed to apply those algorithms to real data.
David Mestre Agency Contractor
- Data cleaning, data analysis, modeling and simulation techniques using Python - MySQL/MongoDB/Sqlite/Sparql/Postgresql - Django framework experience - Web scraping/crawling with python - Parsing xml/csv/json - Python libraries: pylab, matplotlib, pandas, ggplot, numpy, csv, re, json, urllib, urllib2, socket, httplib, sklearn, BeautifulSoup, selenium, requests, lxml, xml, sys, so, subprocess - IDEs: iPython notebook, Komodo Furthermore, I am specialized in editing scientific and technical texts and proficient in American and British English. I'm a native Portuguese speaker living in Spain since 2008, I can offer you translations from English to Portuguese or Spanish at a reasonable price. Whether you need to translate a casual or formal text I can provide you with a prompt and culturally sensitive translation.
I have Masters Computer Science with focus on Data Mining and Machine Learning. I have been doing statistical data analysis in R for 2+ years now and have experience working with a variety of single/multiple regression, multi class classification and clustering techniques. On the other hand, I have 5+ years of experience in Software Development and Design in various leading technologies. I have worked for International Customers and helped them growing their business and expanding the profitability. Over the last 5 years, I have developed a wide range Mobile applications, which include iPhone/iPad/Android/J2ME. I have developed both games and eCommerce applications for iPad/iPhone. I have been involved in development of: - Ruby on Rails - iPhone/Android Native Applications for the Enterprise - iPhone/Android Games Specialties: iPhone SDK / Android / J2ME / Symbian / BREW / BlackBerry Cocos2d / Cocos2d-x / Unity3D / OpenGL ES / Quartz 2D Box2d / Chipmunk Ruby on Rails (ROR) C / C++ / Objective-C / Cocoa Framework / C#
Over the last 12 years, I worked as research assistant/associate in data analysis. I developed algorithms in processing and performing statistical analysis using R, Perl, Java. I am proficient in various Microsoft Office Applications especially MS Excel, MS Word, and MS Powerpoint. I have strong oral and written communication skills. I am a strong self-starter and able to work well independently. I am hardworking and can work effectively as fast as I can.
I have 14+ years of programming experience and a Master's degree in Bio- and Medical Informatics. I'm good at User Friendly GUIs, Data Reorganization, File Format Conversions (including text and binary data formats), Web Scrapping, Desktop Applications (Visual FoxPro, C# recently), Databases (a lot of experience), Bioinformatics, Statistical Analysis, R-project (including C code compiled for R to speed up some time consuming computations), SQL, Microsoft Office Excel Automation (VBA code sent from a desktop application to Excel to make it do things), Programs to Automatically fill Acrobat PDF Forms, Text Parsing, Mapple, C, C++, C#, Audio/Video formats conversion, Molecular Biology, Genetics and more. Keywords: Bioinformatics, Desktop Applications, Molecular Biology, Genetics, C, C++, C#, Mapple, PDF Forms, edgelist, edge list, Databases, database, Statistical Analysis, R-project, VBA, Automation, Medical Informatics, Algorithms, algorithm, File Convert, files conversion, Text Parsing, parse, user friendly graphical interface, GUI, Audio, Video, website scrap, scrapping, wordcloud, wordclouds, word cloud, word clouds, C#.
I work with clients on defining, implementing and managing data analysis and data management projects. My expertise lies at the intersection of Statistics, Computer Science and Business acumen. Specific areas of interest to me are education, healthcare, finance, real estate, and energy. Analysis: R (statistics), Python (data munging), Java+Scala (machine learning / big data), VB.NET/Excel (financial modelling) ** Apache Hadoop, Hive, Spark with MLlib (big data ecosystem) ** MongoDB, Neo4j (NoSQL) + MySQL, Monetdb (SQL) ** Gephi (networks/social graph processing) ** Weka (machine learning) Visualization: Tableau (rapid dashboarding), Shiny (R package for interactive statistical dashboards) Environments: Linux, Windows, and Mac (least experience) Productivity: Git (source code control) Web Applications: Play 2 Framework (modern Java/Scala-based, reactive websites) I believe the key qualification to be a Data Science practitioner is an analytic and curious mindset. That said, many hiring decisions seem to hinge on specific skills. Let me know if there's a tool or technology you don't see on my list, and I'll let you know if I've worked with it before.