Inquisitive and structured mind, always ready to help, teach, learn and improve. Cross-analysis of in-house data and implementation of diverse machine learning solutions.
Skilled in solving many regression and classification structured problems. Focus on feature engineering, iterative learning, PCA, algorithm tuning, and optimization. Specific project problems: Time series, Survival analysis, Recommender Systems. Fields of interest: ensemble learning, deep learning, econometrics, linear programming, operational research.
The depth of knowledge in analysis and research methodologies is manifested by following skills:
Data Science 鈼� Machine Learning 鈼� Applied statistics 鈼� Data Mining 鈼� E...
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