RJ
About
Currently, I solve operations problems using data for a large beverage company. Previously worked on Deep Learning applications in material design and discovery. In my free time, I explore the world of start-ups, watch football, read, and solve cryptic sudokus like this one.
Work Experience
Anheuser-Busch InBev
2022 - Now
Data Scientist
Designed & Developed multiple solutions to optimize cost in the logistics space in Africa, resulting in $10M+ savings annually. Projects: Load Optimization Engine, Supply Chain Network Design, Fleet Resource Management.
Anheuser-Busch InBev
2021 - 2021
Data Science Intern
Built a ML framework to assess the Credit Risk and determine optimal Credit Limits for India BU, Optimized credit limits to reduce risk exposure by $ 7M annually.
Wipro Consumer Care
2020 - 2020
Process Engineer Intern
Worked on increasing the daily soap noodle production of CVSP1 plant from 28 to 60 metric tonnes, Ran plant simulations & analysis to find out the root cause and bottlenecks to be replaced.
Coca-Cola
2019 - 2019
Supply Chain Intern
Worked on deploying an internal transport management app by conducting user research and UI improvements.
Education
Indian Institue of Technology Madras
2017 - 2022
Bachelor's Degree in Chemical Engineering,
Master's in Data Science
Skills
Python
PyTorch
Tensorflow
MLFlow
Keras
Pandas
MATLAB
Adobe Illustrator
Publications
QRChEM
doi.org10.1021/acsengineeringau.3c00055
A Deep Learning Framework for Materials Property Prediction and Design Using QR Codes
Deep Neural Nets
AutoEncoders
Molecular Modeling
Conv Nets