Summary
Rajinder Mavi is a Senior Data Analyst with a Ph.D. in Mathematics and over a decade of research experience applying advanced math to quantum mechanics and computational models. He bridges theory and industry, translating complex mathematical models into interpretive and predictive data products using Python and Qlik, and has led data governance and ML-driven outlier detection efforts for executive-facing analytics. His academic work—spanning epidemic modeling, spectral analysis of quantum systems, and many-body localization—gives him uncommon depth in probabilistic modeling and numerical methods that inform practical machine-learning solutions. A practiced communicator, he routinely turns technical research into accessible visuals and narratives for both specialist and non-technical audiences, and has contributed to production-quality open-source work through civic projects. Based in Long Beach, CA, he combines rigorous theoretical understanding with hands-on product delivery and a sustained interest in mathematical finance, biology, and physics.
5 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of California, Santa Barbara
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Rensselaer Polytechnic Institute
Machine Learning Engineering Career Track Program., Machine Learning Engineering Career Track Program. at Springboard
University of California, Irvine