Experience

Case Club IIT Madras

• India
• Education Administration Programs
• 1 - 100 Employee

• Student's Head

  • May 2022 - Present



Procter & Gamble

• United States
• Manufacturing
• 700 & Above Employee

• Product Supply Intern

  • May 2022 - Aug 2022



Indian Institute of Technology, Madras

• India
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher

  • Jul 2021 - Apr 2022

  Working on simulation of physical interactions using deep learning, reducing the need for high computation facilities for such use cases. Working on simulation of physical interactions using deep learning, reducing the need for high computation facilities for such use cases.



EY-Parthenon

• United States
• Business Consulting and Services
• 700 & Above Employee

• Transaction Strategy Intern

  • Nov 2021 - Feb 2022



Blue Barrel Solutions

• United States
• Utilities

• Intern

  • Jun 2021 - Sep 2021

  1. Automated the generation of comparative pdf reports for a user based on their energy consumption 2. Defined ML models to predict energy consumption of houses and engineered features to improve accuracy by 10% 3. Built a custom web scrapper and subsequent pipeline to build a quality dataset of energy consumption of houses in the US, aiding customer acquisition. 1. Automated the generation of comparative pdf reports for a user based on their energy consumption 2. Defined ML models to predict energy consumption of houses and engineered features to improve accuracy by 10% 3. Built a custom web scrapper and subsequent pipeline to build a quality dataset of energy consumption of houses in the US, aiding customer acquisition.



Dhvani Research & Development Solutions

• India
• Mechanical Or Industrial Engineering
• 1 - 100 Employee

• DL & Software intern

  • Dec 2020 - Jul 2021

  1. Analyzed a complex data set of x ray images of engines produced by a leading automobile manufacturer with extremely small regions of interest. 2. Implemented image segmentation models based on SegNet, U net, HR net and attention models which predict and extract regions in the engine with a manufacturing defect. 3. Integrated the models in the production lines, greatly reducing costs associated with quality management. 1. Analyzed a complex data set of x ray images of engines produced by a leading automobile manufacturer with extremely small regions of interest. 2. Implemented image segmentation models based on SegNet, U net, HR net and attention models which predict and extract regions in the engine with a manufacturing defect. 3. Integrated the models in the production lines, greatly reducing costs associated with quality management.