📍 Winnipeg · 🎓 B.Sc. Statistics & Mathematics
🔭 Applying statistical methods and data tools to real-world public datasets — from fraud detection to time-series forecasting.
📫 Reach me: Janak25rudani@icloud.com ·
| Project | Tools | What it shows |
|---|---|---|
| 🦠 COVID-19 Global Dashboard | Python · Streamlit · Plotly | Interactive global COVID-19 tracker — country-level case/death/recovery trends, choropleth maps, and time-series visualizations built on public JHU/WHO datasets |
| 🏥 Medicare Cross-Country Fraud Detector | SQL · Python · Streamlit · Plotly | Detects providers billing Medicare from US + foreign country simultaneously — CMS OIG phantom billing pattern. Self-join date-overlap queries, risk scoring (HIGH/MEDIUM/LOW), interactive 5-tab dashboard |
| 🐧 Palmer Penguins — Linear Models & ANCOVA | R · ggplot2 | Linear regression, one/two-way ANOVA, ANCOVA |
| 📞 Telco Customer Churn | R · Python | Logistic regression, ROC/AUC, lift charts |
| 🚲 Bike-Share Demand (Poisson) | R · Python | Count regression, GLMs, EDA |
| R · Python | ARIMA/SARIMA, time-series decomposition |
- End-to-end data projects with SQL + Python + interactive dashboards
- Applied statistics for real-world public datasets (CMS, open government data)
- Time-series forecasting and count regression models