Data Analyst & CS Graduate turning complex datasets into actionable intelligence. Experienced across e-commerce, healthcare, edtech & ML — building dashboards, models, and pipelines that drive real business decisions.
I'm a detail-oriented Data Analyst and Computer Science graduate (University of Kashmir, 2025) with hands-on experience across Python, SQL, Power BI, Google Analytics, and Machine Learning.
I've completed 4 internships spanning e-commerce analytics, AI/ML model development, data pipeline engineering, and healthcare software — giving me a rare cross-domain perspective few analysts at this stage possess.
I thrive at the intersection of technical depth and business storytelling — transforming raw, messy datasets into clear, compelling narratives that stakeholders can actually act on.
A production-grade credit card fraud detection system that processes transactions through a Kafka streaming pipeline, scores each one using a trained XGBoost model, and generates human-readable SHAP explanations for every flagged transaction. Built with a REST API for live predictions, MLflow experiment tracking, and automated data drift detection — trained on 284,807 real anonymised European cardholder transactions.
A smart city analytics platform that ingests live Chicago open data daily, computes neighbourhood health scores, clusters crime hotspots using DBSCAN, and ranks infrastructure maintenance priorities. Everything is exported to interactive Folium maps and Tableau dashboards — turning raw city data into actionable urban intelligence.
I'm actively seeking Data Analyst roles — remote, hybrid, or relocation. If you're looking for someone who can go deep on data and communicate clearly to stakeholders, let's talk.