Akshay Prabhakant is a product-focused data scientist and engineer with 8 years of experience building ML-driven products that turn messy logistics data into business impact. He has shipped end-to-end pipelines and novel evaluative metrics—most notably an ETA system combining random-forest dwell-time models and lane-level historical heuristics—and an 84% accurate Gemini-Flash document-review workflow for pricing agreements. Comfortable across SQL, dashboarding, and production ML, he pairs analytics rigor with pragmatic feature engineering and noise-robust event handling. Based in Mumbai and trained at IIITH, Akshay has a track record of translating domain constraints in supply chain and pricing into deployable solutions that improve decision-making and pricing elasticity analysis. A detail that often surprises collaborators: he blends classical ML with cutting-edge RAG techniques to extract structured signals from heterogeneous documents and real-time events.
8 years of coding experience
4 years of employment as a software developer
Dual Degree - Btech in Computer Science and MS by Research in Computational Natural Sciences, Computer Science, Dual Degree - Btech in Computer Science and MS by Research in Computational Natural Sciences, Computer Science at International Institute of Information Technology Hyderabad (IIITH)
Contributions:42 pushes, 1 branch in 4 years 6 months
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