Chris Fornesa

About

Chris Fornesa’s venture into data science was fueled by a deep curiosity about the truth and a drive to understand the complex systems that shape our world. With a background as a telecom analyst at a Fortune 500 company, he brought a foundation in data insights to the online master’s in data science (OMDS) degree program at Boston University (BU).

Throughout the program, Chris expanded his proficiency in Python and machine learning (ML), transforming self-taught interests into practical expertise. His experience reinforced his understanding of the field and his commitment to continuous learning — so much so that he plans to pursue a second master's degree after graduation.

What initially sparked your interest in data science, and how has that interest evolved?

My interest in data science stems from my interest in the truth as well as to better plan for the future. I have always wanted to learn how to conduct research and analyze data in order to thoroughly understand the underlying processes of numerous complex systems. I was also interested in finding out more about the algorithms that underlie emerging technologies. This interest has only grown throughout my time at this program, to the point that I will be pursuing a second master’s degree beginning next year.

What were you/are you doing professionally or academically before joining the CDS Online Master's program?

Before joining the program, I was a telecom analyst at a Fortune 500 company that used basic data analysis techniques (and Power BI) to provide valuable insights into the company’s telecom processes.

Why did you choose the CDS Online Master’s program specifically, and how did it stand out from other programs?

Personally, the combination of this program’s focus on project-based learning and portfolio items (including our capstone) — along with Boston University’s esteemed reputation — was the main factor as to why I chose to attend this program over others to which I was admitted. I also liked that the standard path for the OMDS program was still part-time, as this was indicative of its flexibility and target audience (which includes me).

What skills or knowledge are you most eager to gain from this program, and how do you plan to apply them?

I wanted to learn how to practically utilize Python, as years of self-study had not yielded the results that I desired. However, with the emergence of artificial general intelligence, I also strived to study more about machine learning techniques. Finally, I wanted to learn about the best practices for how to best present our findings.

Have there been any “aha” moments or unexpected insights during your time in the program so far?

I have had many “aha” moments and unexpected insights throughout my time in the program. However, in my second semester, I clearly remember Dr. Snyder stating that the techniques we will learn in our machine learning class are simply “tools of the trade,” which helped tie together what I had learned (up to that point).

What has been your favorite course in the program so far, and what made it stand out to you?

My favorite course in the program so far has been Machine Learning Fundamentals (Module 3). Although it was intensive, that class helped me produce valuable portfolio pieces and made basic ML techniques accessible. At the same time, the final group project helped me solidify the concepts I had learned throughout the semester while working with a wonderful team!