Summary
Devika Mahoney-nair is a Lead Data Scientist with 8 years of experience translating large, messy datasets into actionable insights for federal and public-sector missions. With a strong foundation in ML and NLP (including BERT and NER), she has driven enterprise AI and data strategy work at MITRE and research programs interfacing with federal, state, and local stakeholders. She designs rigorous experiments and dashboards to inform senior executives, builds reproducible tooling (including a Python package for graph-based neural models), and leads cross-functional data collection and governance efforts. Devika has a track record of mentoring and managing student teams, teaching university workshops, and converting domain questions into survey and analytics plans. Based in Virginia, she blends academic rigor from an MS in Analytics with hands-on operational focus, often surfacing nonobvious data anomalies and root causes that improve mission outcomes. Her background in neuroscience and early lab research gives her a distinctive analytical curiosity and attention to experimental design.
8 years of coding experience
7 years of employment as a software developer
Master of Science (MS) Analytics, Master of Science (MS) Analytics at American University
Bachelor of Arts (B.A.) Neuroscience, Bachelor of Arts (B.A.) Neuroscience at Franklin & Marshall College
Optogenetics, Optogenetics at IFE
Connelly School of the Holy Child
French