Project-oriented technician in a few fields of expertise: * data analysis: various data processing using few programming languages - Python, R, Wolfram Mathematica, Matlab; * typesetter: bibliography support, complex imagery, complex, multi-line equations and interprocessing data in both LaTeX and MS Word; * software developing: desktop software developing and a distinct programms to get and operate on different data; science software to model asorted physics and math models. Experienced for a 5+ years in all fields. 1+ years of public work on oDesk.
R Job Cost Overview
Typical total cost of oDesk R projects based on completed and fixed-price jobs.
oDesk R Jobs Completed Quarterly
On average, 52 R projects are completed every quarter on oDesk.
Time to Complete oDesk R Jobs
Time needed to complete a R project on oDesk.
Average R Freelancer Feedback Score
R oDesk freelancers typically receive a client rating of 4.82.
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.
Computer Engineer, Master in Quantitative Finance and curruntly studing a master in Data Mining and Knowledge discovery. I've been developing backend software, tools and plugins to international companies for the last 10 years. I code in Python, Perl, Java and C. All my developments run on Linux and Unix environment. I manage Linux servers, DB Engines, Tomcat/apaches servers and most well known Linux tools and services. For statistical analysis I work with R, SPSS and MatLab.
Software architect and developer with 10+ years of .NET experience under his belt. Currently consulting on finance projects using a mixture of C# and R. Areas of expertise: .NET stack (T-SQL, C#, ASP.NET MVC, jQuery, LESS), finance programming (R, Bloomberg API), agile development, design patterns, distributed systems, unit testing. Looking for machine learning and finance projects here on oDesk.
Experience and Background ■ I have a Masters in Spatial Analysis and have worked extensively in data analysis and visual analytics. ■ I have created interactive reports and visualizations with tools such as Tableau, ArcGIS, MapInfo, Access and more. ■ I have created databases in Access and worked extensively with SQL server, and to a lesser degree with Oracle. ■ I also have a knack for technical and creative writing. ■ I have designed several RPG's as well as a simulation game of IT Business Management. Business Intelligence and Analytics Carree Objectives ■ Drive value by providing data driven insights to businesses and stakeholders. Provide that insight via analysis and visualizations that tell a compelling story. ■ Continue to expand my repetoir of Business Intelligence, Analytical, and Statistical tools -- which currently includes Tableau, GIS, SQL Server, Alteryx, SPSS, and R (to name those I have used the most). ■ Provide analysis that changes how the company or group views their business and customer/clients. ■ All based on meticulously crafted and validated visualizations, maps, and analysis.
I am a devoted Software Engineer, it's my passion creating the best possible software for each case. I have experience with requirements gathering, analysis, design, development and testing of software solutions. My main areas of knowledge are full stack web development, web scraping, data manipulation and machine learning algorithms. Working in team on Data Science Heroes, ask us about any data science project! http://datascienceheroes.com/
I have extensive experience developing enterprise-grade network-based web applications and desktop software for clients in government, health care, finance, and academia. I'm the lead developer on several web-based and game engine products, some open-source. I'm strongly familiar with major proprietary and open source development tools and libraries. I'm both an experienced team leader and a fast and reliable solo developer, and as an entrepreneur I understand how to balance high-quality work with the need to ship. I have an academic background with training in both statistics and research methodologies, so I particularly enjoy working on challenging projects that require analysis and creative problem-solving, and which aren't simply clones of existing software. I look forward to working with you!
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.