Angela Song
Machine Learning Engineer at SwingVision
United States
Summary
👤
Senior🎓
Top SchoolAngela Song is a machine learning engineer with five years of experience turning messy, large-scale datasets into actionable products and insights across healthcare, ecology, and mobility. Trained at Stanford (BS Mathematics) and UC Berkeley (MA Statistics, 4.0), she has progressed analyses end-to-end—from exploratory data work to production models—most recently building ML features at SwingVision. Her background includes analyzing $100B+ Medicare payments in SAS, geospatial analysis with GeoPandas/PostGIS, and ecological modeling with R and ArcGIS, giving her a rare mix of domain breadth and technical depth. Colleagues describe her as equally comfortable validating complex data pipelines as she is visualizing trends for nontechnical stakeholders, and she brings a quietly rigorous, research-driven approach to shipping reliable ML solutions.
5 years of coding experience
2 years of employment as a software developer
Master of Arts - MA, Statistics, 4.0, Master of Arts - MA, Statistics, 4.0 at University of California, BerkeleyHigh School Diploma, High School Diploma at Phillips Exeter AcademyBachelor of Science - BS, Mathematics, 3.98, Bachelor of Science - BS, Mathematics, 3.98 at Stanford University
Github Skills (11)
email-marketing7
php7
mautic7
marketing-automation6
react5
marketing5
marketing-tools5
typescript4
automation4
frontend4
open-source4
Programming languages (2)
Github contributions (5)
songil88620/songil88620
May 2021 - Sep 2024
Contributions:31 pushes, 1 branch in 3 years 4 months
songil88620/lk-crawling-micro
Jan 2024 - Feb 2025
Contributions:50 pushes in 1 year 1 month
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