Anil Niraula
Data Scientist
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolAnil Niraula is a data scientist with a decade of analytical experience and over seven years focused on machine learning, risk analytics, and econometric forecasting. He has a proven track record deploying production-grade models—most notably leading XGBoost and Kernel SVM initiatives at Freddie Mac that recovered $1.3M through advanced feature engineering and automated ML workflows using Python, Snowflake, and AWS. His background spans policy and actuarial modeling at Reason Foundation, macroeconomic research at the IMF, and hands-on ETL and anomaly detection across large time-series datasets. Comfortable in compliance-driven, cross-functional environments, he bridges statistical rigor with practical MLOps to turn models into measurable business impact. Anil pairs dual master’s degrees and international experience with a portfolio and GitHub presence that reflect an appetite for reproducible analysis and open-source experimentation. He is currently applying his expertise to scalable ML and risk analytics opportunities in the Washington DC–Baltimore area.
9 years of coding experience
1 year of employment as a software developer
Johns Hopkins UniversityAFF Writing Fellows Program, AFF Writing Fellows Program at American’s Future FoundationMaster of Science (MSc) International Business and Emerging Markets, Master of Science (MSc) International Business and Emerging Markets at The University of EdinburghBachelor of Science Business Management and Administration, Bachelor of Science Business Management and Administration at Touro UniversityHigh School Diploma High School/Secondary Diplomas and Certificates, High School Diploma High School/Secondary Diplomas and Certificates at British International SchoolKoch Associate Program, Koch Associate Program at Charles Koch Institute
English, Russian
Github Skills (3)
r-package4
python2
modeling2
Programming languages (2)
Github contributions (5)
ANiraula/PublicPlansData
May 2016 - May 2020
Contributions:42 pushes, 1 branch in 4 years
ReasonFoundation/pensionviewr
Jun 2020 - Jun 2021
Package for loading and visualizing pension data.
Contributions:80 PRs, 48 pushes in 1 year
visualizingpension
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