I am a Data Science graduate student at Stevens Institute of Technology with hands-on experience in data analysis, KPI reporting, and dashboard development.
I specialize in transforming raw data into actionable insights using SQL, Python, and visualization tools (Tableau, Power BI). My work spans operational analytics, time series forecasting, and ETL pipeline engineering, with a strong focus on driving data-informed decisions across business and operations teams.
Languages & Querying
Data Visualization & BI
Analytics & Statistics
Reporting & Dashboards
ETL & Data Engineering
Databases
Cloud Platforms
Soft Skills
U.S. Gig Economy Workforce Analysis Dashboard (Sep 2025 – Dec 2025) Tableau, Census Data, Federal Reserve Data
- Built an interactive Tableau dashboard analyzing gig economy trends across 3,143 U.S. counties, visualizing worker density, income distribution, and demographic patterns.
- Performed geospatial analysis to identify regional gig-work hotspots and income disparity patterns across 3K+ counties.
Time Series Forecasting of U.S. Deposits & Retail Sales (Sep 2025 – Dec 2025) Python, ARIMA, SARIMA
- Conducted time series analysis on 10+ years of U.S. macroeconomic data, forecasting bank deposits and retail sales trends with 92% accuracy.
- Generated 12-month forecasts with confidence intervals across 2 economic indicators to support strategic liquidity planning.
Enterprise Data Warehouse & Analytics Pipeline (Jan 2025 – May 2025) R, SQLite, Snowflake
- Engineered an ETL pipeline to automate processing of 1M+ sales records, cutting manual preprocessing by 20%.
- Transformed 2M+ OLTP records into optimized OLAP structures, improving forecast accuracy by 28% and accelerating stakeholder decision cycles by 30%.
- Master of Science in Data Science — Stevens Institute of Technology (2024–2026)
- Master of Science in Mathematics — Raj Rishi Bhartrihari Matsya University (2020–2022)
- Bachelor of Science (Honours) in Mathematics — Sri Venkateswara College, University of Delhi (2017–2020)