DEVELOPER & DATA SCIENTIST
Crafting data-driven solutions with a focus on machine learning, analytics, and clean engineering practices.
Developed a machine learning pipeline to predict customer churn. Built Power BI dashboards for churn trends, and trained Logistic Regression models in scikit-learn to generate actionable retention strategies.
Automated sentiment classification of legal documents using few-shot prompting with foundation models. Built a fallback Logistic Regression classifier in Python for offline analysis.
A cross-platform Flutter weather app that auto-detects the user's GPS location and displays real-time temperature, city name, current date, and hourly forecasts — no manual input required.
A full-featured task management app built with Flutter following MVVM architecture. Includes categorized todos, theme support, reusable SnackBar utilities, and deep-link handling via url_launcher.
DATA SCIENCE INTERN