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.
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.
Statistics expert, physicist, and signal processing engineer providing robust algorithm based solutions for a wide range of business and product development areas. Top rated freelancer with over 5,000 oDesk hours logged. Focus of activity includes analysis, synthesis, artificial intelligence, neural networks, identification algorithms, statistical detection theory, and adaptive pattern recognition. Application areas include human detection, business model simulations, face recognition, voice recognition, sound artifact recognition, biomedical signature characterization (fluid flow, respiration, apnea, transfer functions, heart rate, snoring); modality prediction, turbulence, second-order gradient analysis, equity forecasting, scheduling (NP and fuzzy logic), time series analysis; synthesis of adaptive scenarios, detection sub-systems, econometric modeling; physics based modalities, anomalous sensor detection, image processing, accelerometer, radar signal processing, demodulation, telemetry, neutron detection, radioactive isotope identification, sensor fusion, target tracking (Kalman, multi-hypothesis, unscented), automated data mining (Internet spider tool development), marketing statistics, genetic algorithms, neural networks, software development, business venture metrics generation, multi-tier HTML parsing, general data feature extraction. Develops prototype emulation of mathematical concept models to subsystem for developers. Expertise in decision theory, DSP algorithms, peak detectors, anomalous detection (acoustics and RF), demodulation signal processing, audio analysis, telemetry processing, pattern recognition, adaptive signal processing strategies, ballistic missile tracking (Kalman and multi-hypothesis), image processing clutter signal processing, K-means clustering, optical deconvolution, image segmentation, anti-jamming radar, interference cancellation communications signal processing, dye laser optics, explosive detection image processing, micro bolometer FPA image processing, CCD camera image stabilization, gamma/neutron nuclear detection, X-ray backscatter signal processing, multi-sensor overlap projection modeling, DF processing. Proficient in statistical simulation model development and rapid prototyping in high-level languages. Strong proposal writing skills including business, SBIR, and technical white paper development. Technology trade study experience (commercial product development). "The real essence of work is concentrated energy"
T B. Agency Contractor
Recognized by oDesk CEO Gary Swart on August 5, 2013: ~> Ranked as Top 1% Expert Provider ➤ Top 1% Provider: 5-Star Client Feedback, Top 2% - 6% Test Scores, 2+ Decades, Proven Results ➤ *** Exclusive annual awards from Motorola. *** Client roster includes worldwide Brands, such as: ABN AMRO, American Red Cross, Canon, Fisher Investments, Genentech, Hyatt, KonicaMinolta, Marriott, Novartis, P & G, Pfizer, Siemens, Sears, Xerox. Having ❶ dealt with﹥1/3 of the Fortune 500, ➋ built a new Business Unit for a multinational & globally recognized operation, ➌ earned an MBA, and ➍ consulted in Business Development with companies of all types, sizes, and industries...this experience becomes your asset through: > Bottom-Line improvements, > effective Growth Initiatives, > formalized Business Plans, > Forecasts & Budgets, > maximizing Sales & Marketing efforts, > Operational streamlining, > replicable Systems & Processes, > assessing Legacy Practices, > managing Turn-Arounds, > identifying & securing Strategic Alliances. < BP samples available upon request. Full portfolio cannot be posted publicly. >
Eugene Krevenets Agency Contractor
Abhishek R. Agency Contractor
I am an Analytics Professional with rich background of analytics, modeling, model validation and reporting in domains of financial analytics, equity valuation, financial engineering, trading algorithms and credit risk analytics. I am proficient in statistical modeling in Forecasting/Predictive Analytics, Segmentation Methodologies, Regression Based Models, Hypothesis Testing, Factor Analysis/PCA, Conjoint Analysis, Scorecard Modeling, Artificial Intelligence (Neural Networks, Genetic Algorithm, etc), Optimization Techniques, Co Integration, VAR, VECM, text scoring, image processing, real time video analysis, etc. I also have a rich experience of building user friendly reports to give better visibility of business and aid Strategy & Planning. I have extensive experience in various statistical tools like R, SAS, SPSS, Matlab, Minitab, Octave, Stat. I am extremely conversant with algorithms. I am skilled in different programming laguages like C, C++, C#, Java, Python, CudaC as well as functional programming languages like F#. I am experience in Big Data analytics like Hadoop using NoSQL, Mapreduce framework, Hive and Pig scripts. I have experience in developing models using Excel VBA. I am currently pursuing CFA (Level II candidate) and FRM (Level 1 Candidate). Demonstrated Success record in: Statistical Arbitrage in Pairs trading strategy using Co Integration, VAR, VARMA, VECM approaches Value-Growth-Cash investing Valuation of Structured Products Sentiment analysis using text scoring (naive Bayes, regressive models, Machine learning and EM algorithms) Market Efficiency analysis to identify pockets of inefficiency in emerging markets Developing statistical models for credit risk estimation for wholesale loan portfolios Developing models for economic capital required under Basel II norms Develop equity and fixed income valuation models Pricing models for products/services in Pharmaceutical sector, Energy sector, etc. ......and many others
Lead software developer and researcher on a commercial military project. 4+ years of experience in .NET technologies. Computer science geek since childhood. Practical experience in mathematical modeling and numerical analysis. Minor experience with PHP and MySql. Quick learner and responsible teammate, dedicated to excellence and perfection.
I am a computer scientist whose main skills are in the field of data analysis, pattern recognition, statistical software, machine learning and large scale system design and integration. I have developed systems using Neural Networks, Markov chains, Support Vector Machines in various applications: OCR, image processing, data analysis, text indexing and retrieval. I am also proficient in 3D image visualization using common off the shelf libraries and methodologies, either low or high level, like OpenGL, DirectX, VTK, Java3D. I understand and use common ray tracing programs. I understand image processing topics like segmentation, thresholding, classification. I have worked in the past in a 3d Face recognition European project. I know the OpenCV library quite well. In the field of "general programming" I have a good understanding of Databases, multi threaded applications, sockets, pipes, encryption (symmetric and asymmetric), compiler design, operating systems, low level data structure in memory and on disk, data integrity. I consider myself an expert in data structures and algorithms: trees, queues, lists, b-trees, hash tables; I use standard libraries like STL, Boost, Java generics. I have a good knowledge of SQL and data normalization however I have also used custom No-SQL databases like Datadraw, MapDB, Tokyo Cabinet, Zope. I know all the basic algorithms and templates used in every day coding; regarding data integrity and security. Compression (lossy and lossless), symmetric and asymmetric encryption, public certificates, I have worked with OpenSSL programming, encrypted web services, packet sniffers. I am proficient in all the common every day languages with an emphasis on C++ and Perl. But I can use: Java, Python, Visual Basic, C#, PLSQL, Delphi. I know all the Object Oriented Programming concepts and design patterns and I use them if the need arises, but I am also able to write object-free programs in C or functional languages (like Haskell or Scheme). I know modern version control systems like git and mercurial, even if I can use also older ones like Subversion or CVS. I know Windows programming and API quite well. I have used WPF and WCF to create desktop applications in Windows and web services. I have used Linux and Gui toolkits like Qt which are platform independent. I know XML, XSL, I have used several parsers like the MsXML or Xpath. I know how to validate a XML with a schema. I have worked with a team that handled thousands of XML documents relating to air crashes in a SQL server database. I am able to talk and write in English with fluency. If anything is not listed here either I have forgotten to list it or I can probably learn it quite fast, so don't hesitate in asking!
I have more than four years of work experience in data management and validity checking in statistical analysis, with additional expertise in programming with R, STATA and SAS. Skilled at designing and analyzing epidemiological studies, having completed training in statistics for epidemiology, impact evaluation in health interventions and targeted learning. Have facilitated training courses on basic statistics, epidemiological statistics and R and STATA. I have facilitated STATA training for more than 150 researchers. I have experience in machine learning field too and I have conference paper in this field. Also I have completed machine learning course from coursera. Specialties: Bio-statistical techniques, Causal Inference, Machine Learning, Data Mining Core computing skills in R, STATA, R, SAS and SPSS