Transitioning into data analytics after completing a structured data analytics course, with a background in English and a strong analytical foundation built through competitive exam preparation. I turn raw data into clear, actionable business insights.
- Languages & Tools: SQL (Oracle, MySQL), Python (Pandas, NumPy, Matplotlib), Java, MongoDB
- Visualization & BI: Power BI, Tableau, Excel
- Core strengths: Data cleaning & preprocessing, exploratory data analysis, feature engineering, dashboard design, business storytelling
- Customer Churn Analysis — Identified a high-risk customer segment with 70% churn rate (3.5x baseline), quantifying $638K in annual revenue at risk. Built with Oracle DB, Python, Excel, and Power BI.
- Regional Sales Dashboard — Analyzed 7,991 sales transactions across 6 US regions and 4 sales channels using MySQL and Power BI, identifying the strongest region-channel combination for targeted investment.
Currently building my third portfolio project — a Tableau-based car sales dashboard.