These personal projects fall into one or more of the following categories: (1) Generalizing data science skills learned in astrophysics to new problems applicable over a variety of business domains (2) Addressing weaknesses that weren't developed fully during my PhD (3) Simply because it is fun and interesting to me. For each project, the corresponding github page is linked which includes a README with a more detailed description of each project.
- Predicting county flips in U.S. presidential elections
- Time-series temperature forecasting for agriculture
- Tracking human movements with computer vision
- Augmenting medical image datasets with generative AI
- Marketing decision analysis using Bayesian statistics
- Bayesian A/B Testing using PyMC
- Reconstrucing astronomical spectra using Principal Component Analysis (PCA)