Ford Higgins
Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolFord Higgins is a data scientist with 8 years of experience in analytics engineering and business-facing data products, currently at Signifyd in San Francisco. He specializes in building reliable data pipelines and metrics—dbt, Airflow, Snowflake, Python, and SQL—and has led migrations to unified data models while cutting costs and improving developer workflows. Ford pairs technical execution (Looker/Sisense dashboards, automated Python scripts) with clear stakeholder communication, regularly presenting results and trade-offs to executive teams. His background in competitive basketball informs his collaborative, accountable approach and attention to detail, evident from roles from NBA game review to analytics for professional teams. He finds fulfillment in enabling others through documentation, training, and process optimization, turning analytical complexity into actionable insights.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science Mathematics, Bachelor of Science Mathematics at Davidson CollegeMaster of Science - MS Data Science, Master of Science - MS Data Science at University of San Francisco
Spanish
Github Skills (29)
python10
statistics10
sports-data10
historical10
espn10
sleeper9
wrapper9
api8
api-client7
scoring7
machine-learning7
python-api7
data-visualization6
streamlit6
developer-tools6
Programming languages (4)
Github contributions (5)
wfordh/fantasy_football_projections
Dec 2019 - Jul 2024
Tools for aiding with fantasy football decisions
Contributions:1 review, 22 PRs, 90 pushes in 4 years 8 months
decisionsfantasyfantasy-footballfootball
wfordh/ottobasket_values
Dec 2021 - Mar 2025
Creating values for Ottoneu Basketball across scoring formats and minute types
Contributions:102 PRs, 230 pushes, 19 branches in 3 years 3 months
formatsbasketballminutescoring
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