Dan Davis
Director Of Data Science
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDan Davis is a Director of Data Science with a PhD from TU Delft and a decade of experience turning learning science and analytics into data-driven products that boost marketing performance and learner outcomes. He has led and scaled cross-functional BI and data science teams across healthcare and education—from building a data ecosystem for Pearson’s online course marketplace to directing analytics at Fallon Health and Juul Labs. Dan blends academic rigor (teaching learning analytics at Georgetown) with practical product leadership, launching behavior-change campaigns and payor-agnostic initiatives at Aetna. Known for bridging research and production, he shapes measurement frameworks and operational pipelines that make complex behavior and learning signals actionable for business stakeholders.
10 years of coding experience
7 years of employment as a software developer
Master of Arts (M.A.) Communication Culture & Technology, Master of Arts (M.A.) Communication Culture & Technology at Georgetown UniversityDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Delft University of TechnologyBachelor of Arts (B.A.) English Writing & Mass Communications Graphic Design, Bachelor of Arts (B.A.) English Writing & Mass Communications Graphic Design at Assumption University
Github Skills (13)
manipulation9
python9
tricks9
pandas9
dataframes8
data-structures8
data-analysis8
data-science8
frame8
edx7
data-manipulation7
lambda6
serverless5
Programming languages (2)
Github contributions (5)
dan7davis/Lambda
Jun 2017 - Oct 2018
One-stop-shop for edX experimentation methods, tips, and tricks that we use here at Lambda Lab, in the Web Information Systems Group at TU Delft.
Contributions:1 release, 16 commits, 4 PRs in 1 year 4 months
information-systemsexperimentationdelftserverlessedx
dan7davis/study-planning
Apr 2017 - Sep 2017
Contributions:115 pushes, 1 branch, 10 issues in 5 months
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