• Leveraged machine learning models for detecting frauds in personal loan department. • Used LIME(Local interpretable model-agnostic explanations) on several deployed models by credit risk team to explain local behavior of datapoints.

• Instructed weekly tutorials for 50+ students over the course of two semesters. • Assisted in conducting the practical laboratory sessions and contributed to the problem bank for course evaluation.

• Total Electron Content(TEC) prediction in the atmosphere using GPS data. • Applied Global K-means, Fast K-means, and K-means using Kd Trees to get statistical accuracy and compared the results.