Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Statistical Data Analysis, Cloud Services, Machine Learning and Deep Learning.
Courses: Statistics, Neural Networks, Optimization Methods for Machine Learning, Data Management, Algorithmic Methods of Data Mining, Fundamentals of Data Science
Calculus 1-3, Vector Calculus, Numerical Methods, Data Communications, Digital Signal and Image Processing, Project Management
Python
undefined1st place in Data Science Hackathon conducted by Bridgestone.