• Created coding assignments on HackerRank to reinforce core algorithm concepts for students.• Assisted the professor in designing solutions for formal proofs, helping clarify complex problem-solving approaches.• Reviewed and checked 100 students' formal proofs for logical consistency and correctness.

• Conducted research and literature review on time series forecasting methods, including traditional and advanced models, to enhance predictive accuracy.• Implemented preprocessing and feature engineering on large-scale datasets, ensuring data integrity and optimizing input for model training and validation.• Developed predictive models using LSTM and Transformer frameworks, achieving high accuracy in forecasting COVID-19 cases and stock prices.• Assessed model performance and refine algorithms through testing and evaluation using metrics such as RMSE and MAPE.

Organized coding contests on Hackerrank and Codechef to promote coding culture at college, along with conducting sessions on competitive programming concepts.