Summary
Milan Joshi is an experienced data science educator and practitioner with over a decade of experience bridging advanced mathematics, machine learning, and applied sustainability solutions. As an adjunct professor at Northwestern and former lead ML scientist-manager at Climate Connect Digital, he has led teams delivering renewable energy forecasting, carbon-reduction models, and remote-sensing applications tied to real-world operations and policy stakeholders. His academic roots (PhD in Mathematics) underpin rigorous model development and pedagogy, reflected in long teaching tenures across Indian universities and leadership of large data-science cohorts at Great Learning. Milan combines curriculum design and faculty management with hands-on production ML—having overseen load and price forecasting, forest-fire prediction, and biomass estimation projects—so he fluently translates theory into deployable systems. Based in Bengaluru, he brings a mix of research credibility and product-focused delivery, with a knack for turning abstract mathematical concepts into practical, impact-driven analytics.
10 years of coding experience
15 years of employment as a software developer
Base SAS Cerification, Base SAS Cerification at SAS Institute
Data Science Certificate, Big Data, Machine Learning , R, A, Data Science Certificate, Big Data, Machine Learning , R, A at Edureka Online course Data Science
Master of Science - M.Sc, Master of Science - M.Sc at University of Mumbai
Certification MySQL and TeraData Duke University
Business Analytics With R, Data Science, A, Business Analytics With R, Data Science, A at Edvancer online course
Online Honor code Certificate, Statistics, Machine Learning, 79, Online Honor code Certificate, Statistics, Machine Learning, 79 at Standford online Course on Statistical Learning
Doctor of Philosophy - PhD, Mathematics( Abstract Harmonic Analysis), Doctor of Philosophy - PhD, Mathematics( Abstract Harmonic Analysis) at SGBAU
English, Marathi, Hindi