Successfully developed and implemented advanced machine learning algorithms using XGBoost, SMOTE, and parameter tuning to accurately predict sparse negative outcomes.Designed and built a robust framework for generating representative synthetic data.Created a framework that facilitated the creation of synthetic Big Data datasets, enabling their use for training machine learning algorithms.Conducted extensive research and analysis to optimize the performance of machine learning algorithms.Worked on PyOMO model to optimize caregiving.Implemented API for the dynamic usage of the PyOMO model.Collaborated with cross-functional teams to ensure the successful integration of machine learning solutions into software products.

Began tutoring individuals in Python during Masters Degree.Catered to individual needs, usually covering for and while loops, functions, and classes.Covered larger ideas like data structures and algorithms.Showed practical applications with coding puzzles like FizzBuzz.