“Enroll in multi-faceted, wide-spectrum coursework that will enable you to apply for a wide range of jobs. Enjoy your time at Penn & try to be a part of various student societies at the university.”
Contact Information: atharva@seas.upenn.edu
Degree(s) M.S.E. in Data Science, University of Pennsylvania
Hometown: Pune, India
What field of Data Science are you interested in?
Modern Machine Learning & Software Engineering
What drew you to study Data Science at Penn?
Solid and all-rounded coursework in Machine Learning & Distributed Systems.
What are some classes that you have particularly enjoyed and why?
1. CIS 5550 gives good insight into large-scale distributed systems. The homework assignments ask us to build fault-tolerant, scalable, persistent, and reliable applications.
2. CIS 6800 offers a ground-up syllabus in modern computer vision, which includes the latest GenAI techniques.
3. CIS 5200 provides foundational ML knowledge.
What internships have you had? If you know your post-graduation plans, please include them here.
Internship – Software Dev Engineer Intern @ AWS Bedrock.
Post graduation plan – Software Dev Engineer @ AWS Bedrock.
What advice do you have for new students?
Enroll in a multi-faceted, wide-spectrum coursework that will enable you to apply for a wide range of jobs. Enjoy your time at Penn & try to be a part of various student societies at the university.
What classes have you taken?
CIS 5550, CIS 6800, CIS 5200, ESE 5420, CIS 5450, ESE 5140, MKTG 7120, BMIN 5210
Share a little bit about yourself.
Outside of academia & work, I love trekking. I’ve been on over 75 treks in the Sahyadri Mountain Range, and am currently exploring the Cascades and Appalachians in the US.