BlockPower.Vote

Data Scientist
2020-2021

• Joined a team of data scientists to build a python-based targeting solution in GCP to increase black voter turnout in low-propensity populations, ultimately reaching ~150k potential voters in key battleground states for the 2020 General Election and ~25k potential voters for the 2021 Georgia Senate Runoff
• Supported voter matching and fraud detection capabilities at a large scale (>2 GB) through API calls, fuzzy matching, and multiprocessing, creating a more efficient targeting system