Learning by doing.
From transaction data to factory floors, and from policy documents to digital twins.
Internships.
Ernst & Young (EY)
Researcher & Data Analytics Intern
Swachh Bharat stakeholder-framing research and the Declared vs. Measured follow-up. Mentored by Amrita Saib (Director, EY) and Gaurav Thapak (Consultant, EY).
Explore the workCashify
Data Analytics Intern · Tech Team
I studied pricing and demand in India’s refurbished smartphone market. I cleaned and analysed anonymised transaction data in Python, SQL and Excel, conducted exploratory data analysis and built visualisations. Regression models in R and Python examined device model, condition, region and promotional periods. I compared regional and seasonal patterns and presented pricing and regional-strategy recommendations to the Tech Team in a final report.
Explore the workAsahi India Glass Ltd. (AIS)
Technical Intern · Operations Team
I studied glass manufacturing processes and industrial workflows: production efficiency, quality control and sustainable operations. I analysed operational practices to identify improvements in efficiency and environmental sustainability, and worked with the operations team on assigned tasks.
Learning with others.
Yale Young Global Scholars
Innovations in Science & Technology
Under 15% acceptance, full financial aid. I researched the ethics of digital twins—privacy, consent and data ownership—and designed and tested a prototype digital twin as my capstone.
NYAS Junior Academy
Selected Member & International Team Lead
Following competitive selection, I led a team from India, Russia, Ukraine and the USA in the Fall 2025 Solar Power Innovation Challenge. Our AI-Powered Smart Grid Balancer forecast solar generation and demand from weather, consumption and grid data, redistributing energy via smart inverters, automated switches and battery storage. I coordinated across time zones. We completed all 4 milestones, including the results worksheet, executive summary and final presentation.
Young Scholars Programme · Ashoka University
Science & Technology
Interdisciplinary faculty sessions, hands-on lab workshops and collaborative problem-solving.
A foundation in data science.
Johns Hopkins University
Data Science Specialization: 10 courses by Roger D. Peng, Brian Caffo and Jeff Leek.
- 01Data Scientist’s Toolbox
- 02R Programming
- 03Getting and Cleaning Data
- 04Exploratory Data Analysis
- 05Reproducible Research
- 06Statistical Inference
- 07Regression Models
- 08Practical Machine Learning
- 09Developing Data Products
- 10Capstone