Megan Fantes
Model Risk Data Scientist
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMegan Fantes is a Model Risk Data Scientist with 9 years of experience applying Bayesian statistics and production-grade engineering to experimental design and software testing for robotics and SaaS products. She builds end-to-end testing platforms in Python and SQL on AWS, translates complex metrics into interactive visualizations and web apps, and has a track record of doubling testing capacity and release cadence at iRobot. Comfortable bridging statistics and computer science, Megan leads squads, mentors teammates, and brings a practical focus on risk-aware decision making. She’s been recognized with a Chairman’s Award for impactful contributions and continues to apply her curiosity—whether improving differential-privacy tooling in research or debating trivia nights—to solve real-world problems.
9 years of coding experience
7 years of employment as a software developer
High School Diploma, High School Diploma at Moses Brown SchoolCertificate of Proficiency for Overseas Computer Science, Certificate of Proficiency for Overseas Computer Science at University of AucklandMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Boston University
English, Spanish
Github Skills (9)
espn9
r-package9
exploratory8
differential-privacy7
exploratory-data-analysis6
data-analysis5
visualization4
matplotlib4
python4
Programming languages (4)
Github contributions (5)
MeganFantes/HotSwap
Nov 2017 - Dec 2017
Contributions:6 PRs, 96 pushes, 5 branches in 1 month
TeamCaffeine/HotSwap
Nov 2017 - Dec 2017
Contributions:173 commits, 17 PRs, 7 pushes in 1 month
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