Bengaluru, Karnataka, India
Data Scientist with 3 years of experience developing AI/ML-based solutions for real-time drilling surveillance at ExxonMobil. I work across the full lifecycle of data-driven systems — from model design and testing to deployment and monitoring — with strong exposure to software engineering practices, Databricks, CI/CD workflows, and cloud-based deployments. I have graduated in the dual degree program - B. Tech in Mechanical Engineering and Inter-disciplinary Dual Degree in Data Science from IIT Madras. I interned as a data scientist at ExxonMobil, Bengaluru in the summer of '22 and received a Pre Placement Offer (PPO). Feel free to reach out via email at: [email protected]
Developing advanced AI and Machine Learning frameworks to minimize Non-Productive Time (NPT) in drilling operations
M.Tech Thesis - Deep Learning for Molecular Generation and Drug Repurposing
Got a Pre-Placement Offer (PPO) for exemplary performance - Worked on customer segmentation and market analysis for the Singapore petroleum market - Identified lapsed and at-risk customers using RFM analysis to generate 2.2M USD additional revenue/ year - Evaluated and implemented various clustering algorithms like DBScan, MeanShift, K-means, Hierarchical Clustering and Dynamic Time Warping - Automated the segmentation process on Microsoft Azure Databricks for periodic updates
● Spearheaded a team of 8 coordinators and organised 6 events including the flagship Saarang event- Gameplex, with an overall participation of 600. ● Introduced live streaming of the club’s events for the very first time, getting over 3000 views on Youtube. ● Facilitated sponsorship and partnership with gaming start-ups like Fanclash and Reckoning eSports
● Worked closely with a group of 9 coordinators at the Centre for Innovation, IIT Madras. ● Successfully organised events and workshops throughout the year on topics like IoT, Bluetooth Controlled Bots, Gesture Controlled Laptop etc