Data Analyst with 2+ years of experience building dashboards and data pipelines that business teams actually use. I work across the full analytics cycle — raw extraction, SQL transformation, Power BI reporting, and stakeholder delivery.
Currently pursuing my MBA in Finance at the University of Delhi, bridging the gap between data and business strategy.
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│ 📍 Location Delhi, India · Remote-ready · Hybrid-open │
│ 💼 Seeking Data Analyst roles │
│ 🎓 Education MBA Finance · BCom (Accountancy) · University of Delhi │
│ 📊 Impact 40% reduction in manual reporting · 5+ data sources │
│ ⚽ Football CRPF Camp Team · Subroto Cup Runners-Up │
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Languages & Analytics
Data Visualization & BI
Databases
Data Engineering & Tools
| # | Project | What It Does | Stack | Status |
|---|---|---|---|---|
| 01 | E-Commerce Sales Analytics | End-to-end pipeline: raw CSVs → PostgreSQL → Python clean → DuckDB OLAP → Seaborn visuals | PostgreSQL · Python · DuckDB · SQLAlchemy | ✅ Shipped |
| 02 | Retail Data Warehouse | Star schema dimensional model with fact/dim separation, SCD handling, BI-ready output | PostgreSQL · SQL · Power BI | ✅ Shipped |
| 03 | Databricks Medallion Warehouse | Production Airflow + dbt pipeline across Bronze → Silver → Gold layers | Databricks · Airflow · dbt | ✅ Shipped |
| 04 | Bike Store Relational Database | Unstructured data → 9-table normalized schema with stored procs, triggers & views | PostgreSQL · SQL | ✅ Shipped |