Arvind Krishna
Assistant Professor Of Instruction at Northwestern University
Evanston, Illinois, United States
Summary
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Senior🎓
Top SchoolArvind Krishna is an Assistant Professor of Instruction at Northwestern University who builds and teaches courses for the new undergraduate Data Science major, bringing 11 years of experience across industry analytics and academic research. He blends practical, enterprise-facing analytics experience from Fractal Analytics with rigorous PhD-level expertise in statistics from Georgia Tech, specializing in big-data reduction, adaptive exploration, and robust experimental design. At Northwestern he actively forges industry partnerships for a capstone course and the annual DataFest, connecting students with real-world datasets and employers like Capital One and McKinsey. His research produced novel clustering and adaptive design methods that speed materials discovery and make expensive computer-model calibration more robust. Comfortable moving between hands-on predictive modeling and curriculum design, he focuses on translating advanced statistical methods into teachable, impact-driven projects. Based in Evanston, he’s uniquely positioned to channel industry problems into student-led solutions while accelerating recruiting and applied research collaborations.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, GPA: 4.0, Doctor of Philosophy (Ph.D.), Statistics, GPA: 4.0 at Georgia Institute of TechnologyIndian Institute of Technology BombayProgramming languages (1)
Github contributions (5)
NUstat/STAT303-2-class-notes
Dec 2022 - Jan 2025
Contributions:254 pushes, 2 branches in 2 years
NUstat/Intro_to_programming_for_data_sci
Sep 2022 - Feb 2023
Contributions:153 commits, 270 pushes, 1 branch in 4 months
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