Systems Data Science Intern
Matthew Pressimone is a graduate student at the University of Pennsylvania where he will finish his Master of Science in Engineering in Data Science next May. He earned a Bachelor of Science degree in Mathematics at Binghamton University. Matthew has a passion for playing music and in his free time, plays an instrument called the euphonium.
How would you describe your experience as an Alliant intern?
It was a productive summer as an Alliant intern! I got to see what it is like working in data science and enjoyed applying what I’ve learned in my classes to the “real world” – all while meeting some wonderful people along the way.
What did you learn during your internship?
As my first in-person internship, I gained hands-on experience in different data science concepts. I worked on novel approaches to optimize models, explored ways to measure feature importance, and became much more familiar in Python packages such as NumPy, Scikit-learn, and PyTorch. I also learned the Alliant process for look-alike model development and researched ideas to enhance the processes, with the opportunity to test them.
What were some of your favorite projects?
I accomplished a lot during my time at Alliant. Some of my favorite projects include:
- Testing different neural networks with custom objective functions
- Writing Python code to convert a XGBoost model to SAS
- Building a cascading series of models intended to optimize look-alike models
What do you like most about the culture at Alliant?
Among many things, Alliant is dedicated to their own and their peers’ success. It is a very collaborative culture. Everyone was always happy to help me, and each other, even in new and/or challenging situations. Also, the size of the team is perfect. Not too small, but small enough that you often interact with people across various teams. Thank you so much to everyone at Alliant for making this such a wonderful experience!
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