Mark Morrissey
Data Scientist
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMark Morrissey is a data scientist based in New York with four years of applied analytics experience driving business impact at enterprises like Allstate and Disney Streaming. He combines rigorous training in applied mathematics (Columbia MS, USC BS) with practical ML and production data skills—SQL, Python, Spark, PyTorch, and NLP tools such as spaCy and Hugging Face—to turn messy data into actionable decisions. His work spans causal inference and experimentation, model optimization for home valuation and insurance inspection selection, and memory-efficient model engineering (e.g., shrinking a Random Forest footprint fivefold at Freddie Mac). Comfortable moving models from analysis to business-facing systems, he’s equally at home web-scraping and automating data pipelines as he is explaining trade-offs to stakeholders. Notably, he pairs theoretical curiosity (research in Galois theory and applied betting models) with a pragmatic focus on cost reduction and decision optimization.
4 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Southern CaliforniaMaster of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Columbia University
Stackoverflow
1reputation
0reached
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0questions
Github Skills (9)
data-modeling10
eventstore10
event-driven-architecture10
data-consistency10
cqrs10
event-sourcing10
database10
nextjs7
github-codespaces1
Programming languages (5)
Github contributions (5)
tomthetrainer/mark_test
Jul 2024 - Aug 2024
Contributions:12 PRs, 35 pushes, 7 branches in 24 days
coloradomorrissey/mark_test
Jul 2024 - Apr 2025
demo
Contributions:3 pushes in 8 months
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