MSDS Residential Student Profile: Hannah Valenty

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Hannah Valenty 

Education 
M.S. in Data Science 2025, University of Virginia  
B.S. in Physics 2024, Duquesne University 

Hometown 
Carnegie, PA  

For Hannah Valenty, the journey from studying the laws of physics to harnessing the power of data was sparked by curiosity and a call to make an impact. After diving into particle physics research and mastering high-dimensional datasets, she realized data science wasn’t just a tool — it was a gateway to solving real-world problems. 

Now in the MS. in Data Science (MSDS) residential program at the University, Hannah is blending her love for discovery with a deep passion for conservation, using data to tell stories that inspire change. In this Q&A, Hannah shares her journey, inspirations, and advice for anyone looking to turn their passion for data into real-world impact. 

Q: Tell us about your path to data science. 

I started performing particle physics research following my freshman year at Duquesne University. That was when, with my mentor and the Thomas Jefferson National Accelerator Facility (Jefferson Lab), I was first exposed to Python, statistical modelling, and data analysis techniques.  

While dealing with high-dimensional datasets over the next three years, I found myself enjoying the process of uncovering meaningful relationships in the data. I loved learning about the physical principles of the universe, but I recognized the applicability of data science techniques to unlimited disciplines. This realization sparked my decision to jump into the world of data! 

Q: What do you hope to do with a M.S. in Data Science degree? 

I am passionate about environmental preservation and conservation. I hope to learn many analysis techniques to apply to natural issues and benefit non-profits or organizations that specialize in my interests. I aim to not only implement technical skills but also my capability to tell a story with data as a call to action. 

Q: What has surprised you about the MSDS program so far? 

It was surprising yet encouraging to meet so many classmates with a wide variety of undergraduate degrees. Having perspectives from many disciplines has been great for collaboration and interesting to hear everyone’s personal stories. 

Q: What has been your favorite class so far and why? 

I would pick Prince Afriyie’s course, Linear Models for Data Science. I love math, so getting to physically write down equations in my notebook made me enjoy the content even more. 

Q: What advice would you give to someone considering a Master’s in Data Science? 

Think about what aspects of data science are drawing you in and see if the program fulfills those aspirations. Don’t be afraid to pivot from a path you may be on now, it's never too late. Consider picking some electives that would build your data science skills, and make sure to check out the prerequisites! 

Q: What are some fun facts about yourself? 

I have a twin brother named Joe (he’s older), I rowed during undergrad, and as someone from Pittsburgh, you could call me a Yinzer!