Scott Mcallister
Director at KPMG US
Silver Spring, Maryland, United States
Summary
👤
Senior🎓
Top SchoolScott Mcallister is a data science and engineering leader with eight years of experience applying ML, NLP, and cloud architectures to Federal missions, now serving as Director in KPMG’s Federal Advisory practice. A Returned Peace Corps Volunteer with an MPIA, he blends policy insight and international development experience with hands-on engineering—having built ML-backed tools at GSA that drove accessibility compliance checks and identified $30M in potential savings. He has a track record of translating messy government data into operational impact, from automating invoicing to a 91% spam-classifier that sped content review. Scott is equally comfortable mentoring technical teams and advising senior stakeholders on cloud adoption and agile practices, and he brings full-stack chops from General Assembly data science training and past web app development. Based in Silver Spring, he pairs a pragmatic, mission-first mindset with a knack for spotting cost‑saving evidence and turning it into deployable software.
8 years of coding experience
7 years of employment as a software developer
Data Science, Data Science at General AssemblyMaster of Public and International Affairs International Political Economy, Master of Public and International Affairs International Political Economy at University of Pittsburgh Graduate School of Public and International AffairsInternational Business, International Business at Utrecht UniversityBachelor of Arts (B.A.) Political Science & Sociology (Double Major), Bachelor of Arts (B.A.) Political Science & Sociology (Double Major) at University of Florida
Tigrinya, Spanish, Arabic
Stackoverflow
498reputation
132kreached
15answers
0questions
Github Skills (200)
python10
authentication10
ocr-recognition10
deep-learning10
backend10
section-50810
pandas10
jwt10
rosetta10
predict10
data-science10
aws-cloud10
typescript10
cloud-infrastructure10
reinforcement-learning10
Programming languages (13)
Github contributions (5)
DataKind-DC/capital-nature-ingest
Nov 2018 - Oct 2021
Scripts for ingesting data for Capital Nature
Contributions:444 commits, 233 PRs, 316 pushes in 2 years 11 months
pythoncapitalnaturedata-science
GSA/learning-data-science
Jan 2018 - Aug 2018
A repo for learning data science and Python.
Contributions:35 commits, 2 PRs, 1 push in 7 months
data-analysispythonsciencedata-sciencemachine-learning
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