Summary
Abhinav Ralhan is an Analytics Engineer based in Berlin with a decade of experience applying computer science and data science to product analytics, machine learning, and risk systems. He has built and deployed fraud and credit-risk models at fintech Simpl and now drives analytics product work at GimmeMore, blending production-focused ML with business metrics. His background spans football analytics for Bundesliga and MLS, giving him a niche ability to translate complex event data into actionable insights. Comfortable across the stack—from data modeling and visualization to predictive classifiers—he has freelanced and advised on end-to-end analytics solutions. Abhinav pairs an MS in Web & Data Science with practical experience in NLP and marketing analytics, and maintains an active learning mindset evident from his public GitHub. Colleagues rely on him for pragmatic models that balance statistical rigor with deployability and measurable business impact.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at NIIT University
Science, 90%, Science, 90% at St. Mary's School, New Delhi
Master of Science - MS, Web & Data Science, Master of Science - MS, Web & Data Science at University of Koblenz and Landau
English, French, Hindi, German