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, 55 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 4.79.
Blend of programming, data analysis, and communication skills. 18+ years experience. 60+ happy clients, 20+ testimonials and recommendation letters. I can improve functioning of your business properly making use of the data gathered in your company. This will give you competitive advantage over your competition. I analyse data, build statistical models, optimize business processes. The results and the conclusions are presented as readable and comprehensive charts and reports. I develop software for data analysis. See more info if needed: * Trainings in data analysis and R: http://quantup.eu/trainings/ * Data analysis services: http://quantup.eu/analyses/ * Scoring and predictive models: http://quantup.eu/analyses/scoring-and-predictive-models/ * Quality of work and clients: http://quantup.eu/quality/
I am interested and qualified to do statistical analysis, numerical modeling for all applications, any type of programing in FORTRAN, R, Linux, Matlab, all types of technical writing, editing and translation services in English, French, Spanish. I have PhD in Statistics and Hydrology, MSc in Atmospheric Sciences, BSc in Physics. I specialize in numerical and mathematical modeling and statistical analysis of large data sets. Along with global numerical models I have solid experience with a variety of platforms, software and programing languages. I program in Basic, Visual Basic, C, Fortran, Orcad, Mathcad, Matlab, Maple, Mathematica, UNIX-C Shell, UNICOS, Visual Studio. I have been working with UNICOS / UNIX / Linux / Windows OS, Microsoft Office, Lotus Smart Suite for the past 20 years. I have worked with HYFRAN, R, SigmaPlot, NCAR Graphics, NCAR Command Language, Matlab, IGOR, EXCEL, ARMA. My numerical modeling experience includes POP, WRF, GEM-LAM, CRHM, MEC, MESH, CRCM, ISBA, CLASS, MM5, NARCM, Baroclinic Model, COBEL. I write scientific articles, read and speak at conferences in English, French, Spanish. I do peer review in Journal of Climate, Journal of Atmospheric and Ocean Technology, Bulletin of the American Meteorological Society. I am author of 13 publications in scientific peer-reviewed journals.
I'm pursuing my Ph.D. degree (with minor in mathematics and finance) in Department of Electrical and Computer Engineering, University of Wisconsin, Madison. My major research work here is to build not only a theoretical but also a practical bridge between control theory and financial market. The other research interests of mine includes Robust control, predictive control, and the control theory applications on Financial Stock/Option Market.
Master degree and Ph.D. in control engineering / marine robotics with a thesis in coordinated control of AUV formations. I currently work as an R&D Engineer in ABB Norway, BU Marine & Ports. My fortes are scripting and simulation in Matlab, Simulink, SciLab, OOP, as well as signal processing, data discovery in heterogeneous and unstructured datasets, machine intelligence and machine knowledge algorithms and implementations (SVMs, Kohonen / self-organizing maps, neural networks, Bayesian inference engines), agent-based simulation (e.g. NetLogo), SQL, expert systems, etc. I have previous experience as a certified ECDL instructor in MS Office and expert knowledge of VBA, especially in automating Excel and Access-based tools / applications. I also have experience with managing and administering EU Directorate for Science funded projects (previously FP7, now HORIZON2020), as well as projects funded from the US Dept. of Navy, Office of Naval Research - Global.
I completed my BSc in Biomedical science at Cardiff University, graduating in 2010. I went on to obtain a MRC capacity building studentship in stem cell research and stayed at Cardiff University to undertake a PhD in stem cell research and cartilage regeneration, under the supervision of Prof Charles Archer and Dr Ilyas Khan. During my PhD I completed the training modules of the Mres course and later went on to help with the teaching of the advanced statistics for subsequent years, expanding my experience with the 'R' statistical packages. I have been extensively involved in the teaching and demonstrating the 'R' statistical analysis course for Mres students and PhD students at Cardiff University It has given me valuable experience in teaching students and modifying teaching methods to suit individuals. I currently work as a Project manager for SciTech innovation programs in business and innovation at the NEF. I led on the development of a number of STEM strategies that have helped organisations to reposition and differentiate their offers. I currently hold an honorary post doctoral research associate position at Swansea University, contributing to plastics and orthopaedic research and medical innovation.
I am an expert data scientist. I have academic and industrial experience in machine learning and applied statistics. I hold 2 MSc degrees (awarded with distinction), and I am currently finishing a PhD in machine learning and applied statistics from one of the best institutions in Europe. I am familiar with both statistical methodologies (such as linear regression, generalized linear model and logistic regression, clustering, mixed effects, models for time series such as ARIMA) as well as machine learning/data mining techniques (such as neural networks, decision trees, support vector machines, Gaussian processes and deep learning). Throughout my 5 year experience with the sector I have analyzed tons of datasets from various different domains (from business, to sports to text). There are two things that I believe set me apart from the competition: 1) My breadth of knowledge. 2) My communication and reporting skills. Feel free to contact me about any data-related problem.
Experienced Electrical Engineer Solutions‐oriented and analytical with history of success contributing to reliable, best‐in‐class electrical designs, robust production test systems, and detailed documents and procedures. Design Digital, Mixed-signal, Serial data, Schematics, Design for test, Voltage drop, KAIC calculations, Load calculations, LEED expert Documentation Electrical layers, 1-line drawings, Source Control Drawings, Presentations, Procedures, Requirements, Statements of Work, Statements of Compliance, Test Guidelines, Written Reports Standards JTAG IEEE1149.1, IEEE488, NEC, CA Title 24 Methods Design for Test, Engineering Fundamentals, Probability, Project management, Statistics Tools AutoCAD, LabVIEW, DipTrace, Linux, C++, perl, python, R, MatLab, Visual Studio, DSA90804A, USB6218, U2000 Deployment Design Validation, Process Improvement, Fabrication, Commissioning, User Orientation, Diagnostics, Training Memberships National Society of Professional Engineers Illuminating Engineering Society of North America American Society of Civil Engineers San Diego Green Building Council
Web Programmer / Java - Php /Mysql,Oracle /Jquery / 5 years Mongo / 1 year R, Octave,Orange, Phyton / 2 years Business Intelligence / Tableau/QlikView / 2 years Linux,Windows Server, Mac / 10 years MsC Information Technology, Software engineer Certifications PMP,ITIL,OCA Oracle