Peter Haglich
Data Scientist
Virginia Beach, Virginia, United States
Summary
👤
Senior🎓
Top SchoolPeter Haglich is a data scientist with over 10 years of experience applying statistical analysis, machine learning, and description-logic reasoning to government R&D and national-security problems. He advises a US government agency on forecasting and predictive modeling, producing reproducible analyses via Jupyter and R Markdown and staying current with deep learning and NLP research. His background blends quantitative leadership at Lockheed Martin ATL with earlier knowledge engineering and naval operations-research experience, including nuclear-qualified submarine service and formal training in mathematics and statistics. Comfortable translating complex operational problems into measurable metrics and models, he brings a rare combination of domain rigor, literate-programming practice, and operational-tested judgment to predictive analytics.
10 years of coding experience
17 years of employment as a software developer
B.S., Mathematics, B.S., Mathematics at United States Naval AcademyM.S., Mathematics and Statistics, M.S., Mathematics and Statistics at University of Massachusetts Amherst
German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
mercury10
python7
data-science6
tidymodels5
r-package5
arima4
ets4
forecasting3
forecast3
ipython3
machine-learning3
prophet3
statistical-inference2
math2
time-series2
Programming languages (2)
Github contributions (5)
planetmercury/mercury-challenge
Jun 2018 - Feb 2019
Public Repository for the IARPA Mercury Challenge
Contributions:166 commits, 80 PRs, 63 pushes in 7 months
public-repositorymercury
gfchallenge/gfc
Feb 2018 - May 2019
Documentation, data, and some source code for challenge participants.
Contributions:43 commits, 11 PRs, 22 pushes in 1 year 3 months
participantsdata-documentationpythondata-science
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