π©βπ» Name: Aastha Gupta π Education: B.Tech CSE (IoT) @ VIT Vellore π Role: Data Analyst & Dashboard Builder π Location: India π Working On: Quantitative Finance Dashboards & Risk Analytics π± Learning: Machine Learning & Advanced Statistical Modelling π‘ Interests: Data Visualization, IoT, Edge Computing β‘ Fun Fact: I turned 887K+ loan records into a 4-page Power BI dashboard that predicts credit risk! π
| π·οΈ Project | π§ Tech Stack | π Highlights |
|---|---|---|
| π Options Pricing & Risk Analytics | Python QuantLib Streamlit SciPy |
Black-Scholes pricing, Monte Carlo simulation, GARCH/EWMA vol forecasting, VaR/CVaR risk engine (95%/99%) on live market data |
| π Credit Risk Analysis | Python Pandas SQL Power BI |
Analyzed 887K+ loan records, uncovered 6.4x default-rate spread, 4-page interactive Power BI dashboard |
| π½οΈ Zomato Restaurant Dashboard | Python DuckDB Pandas Streamlit |
50,000+ listings, shared DuckDB query layer, automated Kaggle-API pipeline on Streamlit Community Cloud |
| π Fog-Based Flood Prediction | ESP32 TF Lite Blynk IoT |
96.7% flood-risk classification accuracy, offline alerting, edge inference to minimize latency |
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