Statistics Job Cost Overview
Typical total cost of oDesk Statistics projects based on completed and fixed-price jobs.
oDesk Statistics Jobs Completed Quarterly
On average, 158 Statistics projects are completed every quarter on oDesk.
Time to Complete oDesk Statistics Jobs
Time needed to complete a Statistics project on oDesk.
Average Statistics Freelancer Feedback Score
Statistics oDesk freelancers typically receive a client rating of 4.76.
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.
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.
Hey There! I'm Jeremy. If you work with me, I will make sure you have what you need on time, fully functional, and something that is easy to use. I specialize in the making insights from data that are actionable and make a real difference for your business. I am a big believer in following a process. I have built a process to identify your business needs first and then build analytics that provide the insights you need to achieve your business goals. I want to get straight to the point in order to get you what you need and watch your business prosper.
French Experienced Software Engineer with a career structured in several axis : - Data mining solutions linked with SQL databases.. - Data acquisition systems and monitoring, Building Intelligence, Protocol handlers. - Statistics and Numerical analysis (R language, Eviews, Matlab, Scilab) - Articifial Intelligence and specific languages, with industrial applications. - PPC Statistics & API (Adwords, Adcenter) - Networking with a Wireless Internet Provider (Mikrotik specialist). - Business Intelligence With 25 years exerience in France and Spain as Consultant Engineer in various business environment, able to handle and develop projects involving multiple environments and technologies.
If you want to create a trading system, run a statistical analysis, develop a pricing model, build a financial GUI, or find a pattern in a sea of data, I may be the guy to help. I work primarily in MATLAB, C#, and Python. On the finance side, I'm a CAIA Charterholder, with an Economics degree and experience at McKinsey & Company. On the technical side, I hold degrees (with honors) in Engineering, and worked at a number of California tech companies through the 1990's and early 2000's. Since 2008 I've focused my work in the field of computational finance. Recent clients have included: a Swiss proprietary trading desk (Energy Futures), a Canadian hedge fund (Currencies), a US asset management firm (Equities & Bonds), a US portfolio consulting firm, a US aircraft manufacturing operation, and several others. For those clients I have developed, backtested, and deployed alpha-seeking trading strategies, automated execution algorithms, portfolio optimization models, user-friendly GUI tools. Techniques have included machine learning algorithms, classifiers, feature detectors, digital filters, matrix-based models, and concepts borrowed from detection theory and signal processing, along with various technical analysis indicators. I've worked with many financial platforms and data feeds: Deltix QuantOffice (C#), CQG API, Bloomberg, Interactive Brokers API, MultiCharts (PowerLanguage), MultiCharts.NET (C#), TradeStation (EasyLanguage), FIX (HotspotFx), ITCH (HotspotFx), etc. I can integrate other systems with MATLAB or Excel where there's an advantage. I've created C/C++ .mex files, VBA macros, Java/MATLAB integration, MATLAB/Excel integration. I've been programming in MATLAB since 1990, and can sometimes get it to do things that others can't. I can also translate or port a MATLAB application to other languages, especially Python or C#. I'm located in Southern California. For clients located within 2 hours, I can drive to meet you (sometimes same day, schedule permitting). I'm also happy to work remotely. I'm a US Citizen and have held a security clearance, though it is no longer active. The foundation of every successful project is good communication. If you have a project that needs to be done well, then let's communicate!