Machine learning engineer and data analyst with interest in causal inference, NLP, and cloud-based deployment. Skilled in Python, Scikit-learn, PyTorch, SQL, and AWS/Azure platforms, with practical knowledge of ML lifecycle, including model development, evaluation, and deployment.

Passionate about leveraging AI to solve public policy and operational challenges. Currently contributed to the Pandhita Project as a Causal Pathway Analyst and previously worked on applied ML projects including sentiment analysis, customer segmentation, and late graduation risk prediction for scholarship awardees.