Summary
Lavanya Kannan is a Principal Consultant and data science leader with 11 years of experience specializing in graph databases, analytics, and enterprise data integration. She has driven measurable improvements in industrial use cases—entity resolution, asset management, and supply chain analytics—by applying novel graph algorithms to messy, real-world data. Her background spans research-driven bioinformatics and production engineering roles at firms including EY, Pfizer, and startups, blending mathematical rigor from a PhD and an M.Sc. in Mathematics with systems-level thinking. Known for turning computational challenges into strategic insights, she focuses on collaborative innovation that scales analytic workflows across organizations. Based in Carlisle, PA, Lavanya is building toward a leadership niche in graph data science, bridging academic depth with practical, product-focused delivery.
11 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Madras
B.Sc. Mathematics, B.Sc. Mathematics at University of Madras
Computer Science, Computer Science at Vana Vani Matriculation Higher Secondary School
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Texas A&M University
English