Astrophysicist turned AI researcher | Bridging science and data for societal impact
Designed a framework for fairness and bias assessment of machine learning models in a fictional fintech setting. Includes beginner, intermediate, and advanced audit levels with example tasks, scoring rubric, and mitigation strategies.
Demo Structure | GitHubExploratory and risk-based analysis of 7.7M+ US traffic accidents using DuckDB, with severity-aware scoring, geospatial patterns, and time-based trends.
Interactive Map | GitHubDeep learning app for early triage of skin lesions using CNNs and medical image augmentation, deployed via Gradio.
Live Demo | GitHubML-powered Gradio app recommending trials for women with PCOS and related conditions.
Live Demo | GitHubRegression model to predict used car prices using scikit-learn and Python.
GitHubTrend analysis of food delivery data using Python for customer and business insights.
GitHubRegression-based housing price predictor using Boston dataset and scikit-learn.
GitHubComparing two fine-tuning strategies for sentiment classification with Hugging Face Transformers.
GitHub