I'm a data scientist in Toronto, Ontario, with 8+ years of experience translating complex data into actionable insights. As a former PhD astrophysicist, I specialize in causal inference, optimization, machine learning, and data storytelling.

• Flight Price Prediction: An XGBoost-based model for forecasting airline ticket prices using custom feature engineering.
• MUFASA: An automated ML solution for modeling 3D spectral imaging data in astrophysics.
• CRISPy: A Python package for identifying density ridges in N-dimensional images using unsupervised ML.
• InsightAtlas: A geospatial dashboard for behavioral segmentation and neighborhood ranking across Canada.

• Programming: Python (pandas, scikit-learn), SQL
• Machine Learning: XGBoost, Random Forest, Clustering
• Deployment: Docker, Git, distributed computing (Dask)

• NASA ADS: Lead Author - Contributing Author