Venkateswara Rao

About Venkateswara Rao

I don’t just build models—I engineer intelligence into the physical world. As Principal Data Scientist at Tata Consultancy Services, I lead high-stakes innovation at the confluence of industrial AI, and physics-based analytics. With 26+ years spanning manufacturing, energy, and consumer, I’ve transformed raw sensor data into actionable insights that protect assets, extend life, and save operational costs.My domain is where data meets system—to bring insights what others miss. From developing fleet-level lifing frameworks for rechargeable batteries, to engineering deterioration scores using autoencoders in HVAC systems, I’ve architected models that drive measurable value. I’ve uncovered gearbox failures before downtime hit, estimated disinfectant levels to prevent nitrification in utilities, and applied MCMC methods to optimize maintenance schedules for battery energy storage systems. These aren’t experiments—they’re solutions, grounded in physics, scaled through AI.Previously at GE and Eaton, I pioneered probabilistic lifing models for propulsion motors and turbine parts, and led continuum mechanics simulation for critical systems—earning GE’s Engineer’s Recognition Day and Hats-Off Award. At the Aeronautical Development Agency, I conducted structural assessments for fighter jet cockpit windshields and enabled environmental evaluation of carbon fiber composites at national defense bases.I hold advanced certifications in TensorFlow, Bayesian ML, time series analysis, and battery management systems. My leadership has been recognized globally—TMTC & TCS’s executive programs by UCLA Anderson & INSEAD.I specialize in turning uncertainty into foresight—and complex data into operational confidence. If it fails, degrades, or performs—I envision it & model it.

Experience

1. Senior Data Scientist, Industrial Analytics

   Tata Consultancy Services

   Feb 2010 — Present · Bengaluru, IN

   Spearheading predictive intelligence and physics-informed analytics to optimize complex assets across energy, manufacturing, and utilities.Developed autoencoder-based smart diagnostics for HVACs, detecting pre-failure signals in systems with no recorded faultsDelivered battery health monitoring models for PbA-powered scissor lifts, enabling real-time visibility on Azure at fleet scaleApplied MCMC and NLP to prioritize Li-ion battery maintenance from technician logs, boosting service alignment and uptimeConducted multi-MW gearbox diagnostics using vibration analytics, uncovering lubrication-related anomalies for European millsBuilt time-series forecasting for disinfectant proportioning in water systems, directly preventing nitrification incidentsLed simulation-driven consulting projects to improve first-time yield in product design through shift-left strategies

Education

• Osmania University

  B E, Mechanical Engineering

  1988 — 1992

• National Institute of Technology Karnataka

  M. Tech.,, Materials Engineering

  1992 — 1994

• Indian Institute of Technology, Madras

  Ph.D., Composite Materials, Dept. of Mechanical Engineering

  1994 — 1998

Skills

• Numerical Analysis
• Nastran
• Pro Engineer
• Engineering
• Cfd
• Simulations
• Catia
• Structural Analysis
• Cae
• Abaqus
• R&D
• Stress Analysis
• Ansys
• Finite Element Analysis
• Materials
• Fracture Mechanics
• Proposal Writing
• Modeling
• Composites
• Hypermesh
• Unigraphics
• Technical Specialities: Materials Mechanics, Computational Engineering, Composit
• Product Design
• Six Sigma