“Focus on making real connections and learning from different people. Step out of your comfort zone and embrace challenges. Fail as much as you can, each failure is a lesson. Don’t see rejection as the end of the world; use it to grow and improve. And above all, be kind and offer moral and emotional support to others.”
Contact Information: mohdr110@seas.upenn.edu
Degree(s) M.S.E. in Data Science, University of Pennsylvania
Hometown: Mumbai, India
What field of Data Science are you interested in?
NLP, Applied & Explainable AI and Agents
What drew you to study Data Science at Penn?
I was drawn to Penn by its curriculum that blends theory with practical application in AI, its collaborative culture driven by leading faculty, and its abundant opportunities for research and engagement with the tech ecosystem.
What are some classes that you have particularly enjoyed and why?
MKTG 776 – Applied Probability Models for Marketing. One of the best classes I’ve taken, as it combined statistical rigor with practical applications in customer behavior modeling and decision-making. I particularly enjoyed working on real-world datasets and implementing models that directly connected theory to actionable business insights.
What internships have you had? If you know your post-graduation plans, please include them here.
Merck — Machine Learning Engineer Intern (Summer 2025)
Tesla — Data Science & Machine Learning Engineer Intern (Fall 2025, offer)
AWS — Software Development Engineer (SDE) Intern (Fall 2025, offer)
Post‑graduation: Join industry to build impactful AI systems.
What advice do you have for new students?
Focus on making real connections and learning from different people. Step out of your comfort zone and embrace challenges. Fail as much as you can, each failure is a lesson. Don’t see rejection as the end of the world; use it to grow and improve. And above all, be kind and offer moral and emotional support to others.
What classes have you taken?
CIS 520 — Machine Learning
CIS 545 — Big Data Analytics
ESE 542 — Statistics for Data Science
STAT 535 — Forecasting Methods for Management
MKTG 776 — Applied Probability Models for Marketing
MKTG 712 — Data Analysis for Marketing Decisions
Share a little bit about yourself.
As a second-year student in my Data Science program, I’m energized by two things: building new things and learning from others. I love getting hands-on with projects and am always seeking out new knowledge and perspectives. That’s why I truly enjoy meeting new people and hearing about their journeys.
I’m currently in an exciting exploratory phase of my career, looking to find the specific domain within data science where I can dive deep. A principle that has helped me a lot is when you help others around you with out any returns and solely with pure intention, you eventually help yourself!