Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

Developed and delivered several state-of-the-art ML models for stock market/sports analysis including reinforcement learning and deep learning. Developed custom-built ML algorithms. Optimized ML algorithms both CPU and GPU. Processed Google Analytics Data and provided customer analytics and predictions
C#, Python, .Net, R
Tensorflow, Keras, Scikit-Learn, Numpy, Pandas, Seaborn, OpenCV, Fintech, Quandl, Deep Learning, Reinforcement Learning, Cluster Analysis, Regression Analysis, Genetic Algorithms, Machine Learning, Time Series, Statistics, Signal Processing, Computer Vision.
MySql, MS-SQL, Redis, MS Dynamics, Google Analytics.
GPU computations, Parallel/Concurrent Programming.
TDD, DDD, OOP, Continuous Integration 
Git, TFS, Mercurial
Looking for Data Science, Machine Learning/Artificial Intelligence projects with cutting edge technologies