“Embrace everything Penn has to offer, from attending campus events and forming friendships with peers from diverse backgrounds to building meaningful connections with professors outside the classroom and getting involved in clubs and committees.“
Contact Information: rutvyas@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?
Data Analytics and Machine Learning
What drew you to study Data Science at Penn?
The flexibility of the Data Science curriculum at Penn
What are some classes that you have particularly enjoyed and why?
I truly appreciated CIS 5200, taught by Professor Lyle, for its excellent mix of practical Machine Learning applications and their mathematical foundations. The course deeply explored the intuition behind each model, as well as their applications in the real world, providing me with a solid foundation that was immensely beneficial. Another notable course was CIS 5500, which covered all aspects of Databases and SQL. Professor Susan was fantastic to engage with and learn from, playing a crucial role in my experience at Penn. Both courses were significant highlights, enriching my academic journey.
What internships have you had? If you know your post graduation plans, please include here.
I worked as a research assistant at the University of Pennsylvania Carey Law School.
What advice do you have for new students?
For those just starting out, I highly recommend diving into the full Penn experience with some key strategies in mind. First off, it’s wise to initiate your internship search early on; getting ahead can open up numerous opportunities. Balance is crucial, so make sure to evenly distribute your efforts between preparing for online assessments and dedicating yourself to coursework. Embrace everything Penn has to offer, from attending campus events and forming friendships with peers from diverse backgrounds to building meaningful connections with professors outside the classroom and getting involved in clubs and committees. Lastly, don’t hesitate to explore a wide range of courses. Some of the most diverse and enjoyable classes I’ve encountered were ones I decided to explore at Penn.
What classes have you taken?
CIS 5200: Machine Learning
CIT 5900: Programming Languages and Techniques
ESE 5420: Statistics for Data Science
CIS 5450: Big Data Analytics
CIS 5500: Database and Information Systems
STAT 5350: Forecasting Methods for Management
DATS 5990: Master’s Independent Study with IEEE
MKTG 7120: Data & Analysis for Marketing Decisions
DATS 5990: Master’s Independent Study with Wharton Analytics Fellows (Fox Entertainment)
CIS 7000: Interactive Fiction and Text Generation
Share a little bit about yourself.
I love beaches, playing video games and exploring new places to eat with a soft corner for pasta!