Summary
Ritvik Vasikarla is a data scientist and MS in Business Analytics candidate at UW–Madison with eight years of experience applying statistics, econometrics, and machine learning to product and healthcare problems. He specializes in experimentation, causal inference, and end-to-end predictive systems—having built cloud-native ML pipelines on AWS and produced Bayesian hierarchical analyses for experimental design. Notable wins include a first-place NLP-driven eCommerce optimization for Molson Coors that quantified how concise, fact-dense copy boosts sales and a healthcare readmission model that surfaced early post-discharge risk windows. Comfortable with Python, SQL, PyMC, and SageMaker, he focuses on translating technical trade-offs into actionable product strategy and measurable business impact. A lifelong student of ML, economics, and chess, he brings a quantitative rigor and a curiosity for how models influence real decisions.
8 years of coding experience
1 year of employment as a software developer
Master's degree Business Analytics, Master's degree Business Analytics at University of Wisconsin-Madison
High School Diploma Mathematics and Computer Science, High School Diploma Mathematics and Computer Science at Vandegrift High School
Bachelor of Science - BS Statistics, Bachelor of Science - BS Statistics at Texas A&M University