Transforming complex data into actionable insights and innovative solutions. Expertise spans from turbomachinery dynamics to cutting-edge GenAI applications, with a focus on solving real-world challenges through data science and engineering.
With over two decades of experience across Aerospace, Oil & Gas, and Energy sectors, I've built a career at the intersection of engineering excellence and data science innovation. Starting from my roots in developing inertial navigation sensors for launch vehicles and satellites, I've evolved to lead cutting-edge initiatives in algorithmic pricing, industrial IoT, and supercritical CO2 power cycles.
My approach combines deep technical expertise with strategic thinking to deliver solutions that drive business value. I believe that the most powerful innovations emerge from connecting diverse fields – whether it's applying aerospace-grade analytics to retail pricing or using generative AI techniques to predict industrial equipment failures.
As a leader in data science and innovation, I have consistently delivered projects that balance technical excellence with practical business outcomes. I am passionate about mentoring the next generation of data scientists and engineers, helping them develop both the technical and strategic thinking skills needed to succeed.
Leading retail and B2B pricing analytics and optimization initiatives. Implementing cutting-edge approaches using algorithmic pricing, ML/AI, game theory, and causal inference to drive business value.
Researched sCO₂ turbomachinery for industrial waste heat recovery. Conducted experimental and numerical investigations while mentoring student projects on gas turbine health monitoring.
Delivered end-to-end data science consulting services from proposal to production for major clients including Unilever, Honeywell, and Shell, focusing on industrial IoT solutions.
Conducted doctoral research on next-generation power cycle technologies for renewable energy and industrial waste heat recovery applications, supporting net-zero initiatives.
Led development of power plant remote monitoring systems, aerodynamics R&D initiatives, and sCO₂ technology advancement programs.
Certified GE Analytics Engineer responsible for diagnostic and prognostic modeling of aero gas turbines, industrial RO systems, and wind turbines.
Developed gyroscopes and accelerometers for launch vehicles and satellites. Conducted post-flight analysis and performance optimization for inertial navigation systems.
Innovative pricing approach using information entropy to optimize retail pricing, resulting in 5-10% volume increase and significant profit growth.
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Award-winning deep learning innovation using GANs to predict failures without sufficient real failure data, creating a breakthrough in predictive maintenance.
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Led multi-institutional collaboration securing €4M in EU funding for next-generation energy technology research and development.
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Built bridges between industry and academia to develop innovative turbine blade designs, resulting in a new product line and competitive advantage.
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Created a digital platform connecting operational technology with analytics, generating new revenue streams and proving invaluable during pandemic restrictions.
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Developed an innovative automation solution to meet a critical one-week deadline at GE, earning company recognition and establishing a reusable methodology.
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Challenged fundamental assumptions to solve a years-long technical impasse, contributing directly to India's landmark interplanetary missions.
View DetailsJournal of Supercritical Fluids, Vol 177, November 2021, 105351
Applied Thermal Engineering, Vol 186, 5 March 2021
Proc. GTIndia 2019, GTIndia2019-2347, IIT Madras, Chennai
GT2019-90606, ASME Turbo Expo 2019, Phoenix, AZ, USA
Indian Published Patent, 201941013175 dated 1-Apr-2019, India
GT2017-64625, ASME Turbo Expo 2017, NC, USA
Exploring cutting-edge approaches to retail pricing optimization using information theory and machine learning techniques.
Discussing the advantages and technological challenges of implementing sCO2 power cycles for industrial applications.
I'm always interested in hearing about new opportunities, collaborations, or just connecting with fellow professionals in the field.
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London, United Kingdom