I've always been fascinated to questions without neat answers. Space, celestial phenomena, systems too complex to fully grasp. Data pulled me in the same way. I'm continually amazed at how much meaning you can extract from the right data if you're willing to look hard enough.
That same drive pushed me past analysis into building. Over two years as a Data Scientist at The STATIC Store, I built the company's entire analytics infrastructure from scratch starting from sales pipelines, demand forecasting to customer segmentation on a live business with real stakes. Now, that I'm finishing my Master's in AI and Business Analytics at USF, I've shipped systems that go well beyond the notebook: real-time promo abuse detection on Kafka and Spark, end-to-end ML pipelines on Airflow and BigQuery, and a causal uplift model that translated into a modeled 175K annualized impact.
Teaching AI and Analytics as a Teaching Assistant at USF has sharpened my thinking further. Explaining why a model makes a tradeoff forces understanding at a depth that purely technical work doesn't.
Actively seeking full-time roles in data science, AI/ML engineering, and analytics.
Graduate Teaching Assistant
University of South Florida, Tampa
Aug 2025 – PresentTeaching AI & Analytics; helping students reason through models and tradeoffs.
Business Analytics Intern
ANS Commerce, Gurugram
Dec 2023 – Jun 2024Managed performance marketing analytics; improved ROI through A/B testing and root-cause analysis.
Data Scientist
The STATIC Store, Delhi
Jan 2022 – Nov 2023Built Shopify analytics pipeline; drove 25% revenue lift and reduced inventory waste by 30%.
Data Science Intern
Omdena
Jun 2023 – Aug 2023Built predictive models for healthcare cost estimation; delivered insights via dashboards.
Streaming AI · Anomaly Detection · Fraud
Catches promo abuse in real time: trial hopping, payment reuse, and card fingerprint collisions. Cooldown checks run across device, email, and card signals with audit logs stored in PostgreSQL.
Business Analytics · Visual Intelligence
Combined 9 public datasets to show how housing affordability shifted over 30 years across income groups and regions. Two Tableau dashboards with filters by state, year, and income tier.
Causal AI · Revenue Optimization · ML
Identifies users who actually respond to ads — not just who converts. T-learner and S-learner models beat traditional targeting by 28%, with AI-driven decision rules that automate spend and flag edge cases for human review.
Predictive Analytics · MLOps · Geospatial
Predicted crime hotspots across neighborhoods using 100K+ records and spatial-temporal patterns. Full retrain pipeline runs automatically on Airflow with BigQuery as the data warehouse.
ML / AI
DATA ENGINEERING
ANALYTICS & VIZ
CLOUD & TOOLS
I am not just looking for a job. I want a problem that's worth solving. If you're building something at the intersection of data, decisions, and real impact, that's where I want to be. Let's talk.