Pratik Ramprasad

Conducting research on deep learning and large language models for gene expression prediction. Focused on statistical theory and methods for policy evaluation in reinforcement learning.

Taught graduate level statistics courses, including Statistical Methods and Design of Experiments, during the Spring 2023 semester.

Worked in the Forecasting & Analytics Group, implementing machine learning models for IP attack detection and anomaly detection in call frequencies.

Conducted research on equity index time series forecasting, market timing models, and sentiment indicators while managing an index database.

Grade: 3.92/4.0

Conducted research on statistical theory and methods for policy evaluation in reinforcement learning.

Grade: 3.91/4.0