Anirudh Shankar is a Senior Data Scientist based in Dallas with six years of experience building ML and AI-driven solutions across finance, travel, and manufacturing domains. He progressed from research on spiking neural networks and evolutionary/ reinforcement learning at Purdue to applied roles where he developed high-accuracy 3D CNNs, customer attrition and time-series pattern models, and automated trading APIs. At Vanguard he now applies that research-to-production trajectory to deliver scalable cloud-enabled analytics and models. His background blends rigorous academic methods with hands-on process optimization (Kanban/PFEP) and DEA-based efficiency analysis, giving him a practical edge in operationalizing models. Known for translating complex signal- and image-based problems into production-ready solutions, he brings both experimentation depth and deployment focus to data products.
6 years of coding experience
5 years of employment as a software developer
Master of Science - MS Industrial Engineering, Master of Science - MS Industrial Engineering at Purdue University
Bachelor of Technology Production Engineering, Bachelor of Technology Production Engineering at Veermata Jijabai Technological Institute (VJTI)
Simulating a primordial brain. A biological (spiking) neural network structuring itself through natural selection.
Contributions:5 pushes, 3 branches in 8 months
brainneural-networkselectionnaturalbiological
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