Saurav Singla is an experienced data science leader, author, researcher, and mentor with over 20 years of industry experience across fintech, retail, healthcare, edtech, HRtech, and analytics. Over the course of his career, he has led high-impact initiatives in machine learning, recommendation systems, graph AI, predictive modelling, and large-scale analytics platforms.
He is the author of Machine Learning for Finance and an educator committed to helping learners bridge the gap between theory and practice. His courses are designed to make data science, analytics, and finance accessible, practical, and industry-relevant for professionals and students alike.
In addition to his industry work, Saurav has published research papers and conference publications in applied AI, graph learning, temporal analytics, and scalable machine learning systems. His work has been presented at recognized conferences and workshops including IEEE BigData, IWANN, AIAI, and HiPC workshops.
He is passionate about translating advanced analytical ideas into practical solutions and helping learners build strong foundations in data science and AI.
