Summary
Madhav Somanath is an integration-focused analyst with eight years of experience translating strategic goals into data-driven automation and analytics solutions across consulting and energy sectors. Currently on the Shell Graduate Program, he has rotated through cyber risk and upstream projects, combining technical fluency (Python, data automation) with a strategist’s mindset to boost efficiency and reduce operational friction. Previously at EY he authored large-scale data extraction scripts and led process implementations that cut exceptions and sped decision-making, and at GE Vernova he delivered ERP adoption improvements and an “Intelligent Search” proof of concept. A founder-level thinker who’s also worked on Web3 supply-chain proofs and interned at ISRO, he uniquely blends hands-on engineering, cross-functional leadership, and an appetite for systems-level impact. Comfortable diving into details, he focuses on scalable solutions that align teams and unlock measurable business value.
7 years of coding experience
2 years of employment as a software developer
Master of Business Administration - MBA, 3.42/4, Master of Business Administration - MBA, 3.42/4 at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Machine Learning with Tensorflow, Nanodegree, Machine Learning with Tensorflow, Nanodegree at Udacity
Kendriya Vidyalaya Sangathan
BTech - Bachelor of Technology, Electrical, Electronics and Communications Engineering, 8.5/10, BTech - Bachelor of Technology, Electrical, Electronics and Communications Engineering, 8.5/10 at Government Engineering College, Trivandrum