Work / Projects

A curated selection of my data engineering, machine learning, and analytics work. Click any project to explore the code and notebooks.

Machine learning model to recommend safe credit limit increases.

Tech: Python, XGBoost, scikit-learn

Fraud prediction using ML, SMOTE, and imbalance handling.

Tech: Python, SMOTE, scikit-learn

Analytics + ML to detect suspicious pharmacies and prescribers.

Tech: Python, EDA, ML

Trend and hotspot analysis of vehicle theft data.

Tech: Python/R, visualization

Cost trends, state differences, and insights using dashboards.

Tech: Python, Plotly

ML models to predict optimal Airbnb listing prices.

Tech: Python, XGBoost

Predictive analysis using technical indicators.

Tech: Python, scikit-learn

End-to-end fraud analytics using R.

Tech: R, tidyverse

Trends in genre, budget, and ratings through EDA.

Tech: Python

Website built using HTML, CSS, JS + GitHub Pages.

Tech: HTML, CSS, JS