Analyzed the effects of MLB’s new rule changes using Statcast, Baseball Reference, and Pybaseball APIs in Python. Scraped and analyzed large-scale data sets with Pandas, NumPy, PyTorch, TensorFlow, and SciPy. Employed ridge and lasso regression analyses with gradient descent techniques to develop a better predictive statistics for the Wins Above Replacement (WAR) metric. Consolidated and Presented my findings to Management Science & Engineering department.

Worked with more than 40 students taking the SAT, ACT, and PSAT. Cultivated personal learning environment and gave deep insight into high level test taking strategies. Individualized the curriculum to best cater to the students’ needs. Enhanced students’ scores by up to 250 points on the SAT and 5 on the ACT.

Prepared students for their math classes in both remedial and enrichment settings. Collaborated in a fast paced, high volume team teaching environment. Worked with more than 150 students, mostly with 4 students at any given time. Completed 6 months of practical training in metacognitive skills. Learned how to properly navigate and guide students to understanding their thought processes better.