Summary
Harshvardhan is an Assistant Professor of Information Systems & Analytics (starting Fall 2025) and a PhD in Business Analytics from the University of Tennessee with eight years of experience applying machine learning and predictive analytics to enterprise problems. His dissertation, "From Data to Decisions: Enterprise Demand Forecasting with Machine Learning," developed scalable ML algorithms and demonstrated end-to-end deployment using MLOps, reflecting both methodological rigor and production focus. He has practical industry experience through multiple data science internships at HP and analytics roles supporting companies like Merck, translating complex data into actionable business forecasts. Comfortable bridging academia and industry, he combines rigorous statistical training with hands-on model deployment and collaboration on real-world supply-chain and retail problems. Based in Sharjah, he brings a global background—MBA and undergraduate training from IIM Indore and an Erasmus exchange—to teaching and research in analytics.
7 years of coding experience
1 year of employment as a software developer
Master of Business Administration (MBA), IPM, Master of Business Administration (MBA), IPM at Indian Institute of Management, Indore
Intermediate (10+2), Science (PCM) and Computer Science, Intermediate (10+2), Science (PCM) and Computer Science at Sainik School Tilaiya
ERASMUS+ Exchange Student, Business, Management and Economics, ERASMUS+ Exchange Student, Business, Management and Economics at Latvijas Universitate
Doctor of Philosophy - PhD, Business Analytics and Statistics, Doctor of Philosophy - PhD, Business Analytics and Statistics at University of Tennessee, Knoxville
English, Hindi, German