---
title: "karan oberoi - Manager - Data Science & AI in Bengaluru | Tal"
description: "Meet karan oberoi, 40 under 40 Data Scientist | Artificial Intelligence | Causal AI | Mentor | Amateur Chef based in Bengaluru. AI stack includes claude, cursor, and github copilot."
image: "https://tal.club/meet/karan-oberoi/share-image"
---

# karan oberoi on Tal

## Headline

40 under 40 Data Scientist \| Artificial Intelligence \| Causal AI \| Mentor \| Amateur Chef

## About

Multi\-faceted professional with 16\+ years of experience in the aviation and life sciences sector, with particular industry expertise in Predictive Modelling, Forecasting, Statistical Inference, Experimentation, Machine Learning, Causal Analytics and Generative AI\. Demonstrated history of high impact projects which have maximized value creation for the organization\. In my current role I am spearheading development of advanced analytical solutions, specializing in integration of Gen\-AI and traditional physics\-based models\. Expertly navigating unique complexities of high\-stakes industries like aviation & life sciences to deploy production\-grade algorithms\. Focused on building modular, scalable systems that accelerate data\-driven decision\-making across enterprises\. I currently lead a team of multidisciplinary engineers/data\-scientists in creating ML products for the organization\.

## Location

Bengaluru

## AI stack

claude

cursor

github copilot

hugging face

langchain

langgraph

## Work experience

Manager \- Data Science & AI at EY, Oct 2024 \- Present · 1 yr 11 mos, Bengaluru, \- Scaling micro GCP COE to enhance skillset & create GTM POCs to enhance revenue\. \- Scaling micro SLM COE to create GTM POCs for potential clients\. \- Leading 3\+ solution developments in Build\.AI vertical as part of delivering GenAI\-based solutions for member firms\. \- Mentoring & Leading a team of 6\+ data scientists to develop RFPs, POVs, & POCs supporting GTM strategies\. \- Architected AI roadmap for a pharmaceutical operational excellence client, resulting in a 12% increase in operation efficiency

Associate Manager \- Data Science & AI at EY, May 2022 \- Oct 2024 · 2 yrs 6 mos, Bengaluru, Karnataka, India, \- Working with a pharmaceutical client to optimize their operational centers in terms of workforce & donor inflow\. Implementing data science models in Forecasting, Work Capacity optimization, Pricing engines, Retention probabilities, etc\. \- Forecasting the donor volume that is expected to visit the centres over a short\-term period and long\-term period\. \- Built multiple OpenAi frameworks for clients that help them reduce FTE hours\.

Advanced Lead Engineer: Data Scientist at GE Aviation, Apr 2018 \- May 2022 · 4 yrs 2 mos, Bengaluru Area, India, \- Working with multidisciplinary engineers to create ML products for internal and external customers\. \- Working with the Engineline leaders to understand the operator behavior and create customized solutions for them based on analytics \(Analytics Based Insights\)\. \- Working closely with PSE's & Engine\-line PLL's to optimize the component maintenance and RCA analysis to help the MRO shops in engine workscoping\. \- Improving the analytics models by incorporating physics based kernels to capture the airplane engine component distress\.

Lead engineer: Data Scientist at GE Aviation, Apr 2016 \- Mar 2018 · 2 yrs, Bengaluru Area, India, \- Working with the Engine MRO shops to understand the fleet & operator behavior, dive deep in the problems by implementing data analytics in engine data available for finding a feasible solution for field issues\. \- Working closely with PSE's & Engine\-line PLL's to look for opportunities for fleet performance improvements\. \- Engine in\-shop work scoping based on analytics\.

Lead Engineer at GE Aviation, Aug 2010 \- Mar 2016 · 5 y 7 mo, Bengaluru Area, India, \- GE9X high pressure turbine structures mechanical design\. \- GE9X NPI designing\. \- Leading the stress and design programs for commercial engine\-lines\. \- Working closely with the stakeholders from US and global teams from Turkey, Poland & Mexico\. \- Mentor the young engineers in understanding the stress analysis's basics and concepts\. \- GE90\-115B field cracking case study to predict engine cracks by implementing data analytic models\.

## Education

Master's degree, Applied Mechanics, Indian Institute of Technology, Delhi

Bachelor's degree, Mechanical Engineering, amrita school of engineering

[View the original profile](https://tal.club/meet/karan-oberoi)

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