Meet Our Students: Julian Ruggiero

YU News had a chance to sit down with Julian Ruggiero, a student at the Katz School of Science and Health in the Data Analytics and Visualization program to learn why he came to United States to study and what he’s learned from his program.


Julian RuggieroWhere are you from originally?
I was born in Corral de Bustos, a small town in Cordoba, Argentina. When I was only one month old, my family and I moved to Marcos Juarez, a bigger city where I grew up until I completed high school; then we moved to Villa Carlos Paz, one of the most important tourist cities in the country. I graduated from the National Technological University of Cordoba with a Systems Analyst degree.

Why did you choose to come to the United States?
I have always wondered how it would be to live in a different country, speak in a foreign language and learn about other cultures. In 2015, I had the chance to travel to Dayton, Ohio, and Detroit, Michigan, and I was fascinated by the local people and all the opportunities that are available to connect with other professionals. I knew that someday there would be a chance to live and study in the United States, and I needed to be ready for that moment.

So, I started to gain more and more experience in programming and data management by getting my first job at Hewlett Packard Enterprise as a software developer. In 2018, the opportunity I was waiting for finally arrived when I applied for an Argentine Presidential Fellowship in Science and Technology, sponsored by the Fulbright Commission to pursue a master’s degree in the United States.

Why did you choose the Katz School?
Because of the project-oriented courses and its great faculty. The more hands-on experience I get, the more prepared I will be for a future data analyst job using a project portfolio, so Katz was the perfect choice.

Furthermore, I had an excellent experience interacting with the international graduate enrollment management team, as I found answers to all the questions I had before applying.

I also believe it is extremely important to have the chance to do an internship during the summer, which is also part of the Data Analytics and Visualization course lists. As an international student, sometimes it is a little more difficult to apply for regular job positions because of visa restrictions, so being able to work for a couple of months in a U.S. company with an internship definitely caught my attention.

What do you plan to do with your Fulbright year?
I plan to take advantage of all the things New York City has to offer, one of the most vibrant cities in the world. I hope to learn from professors at the Katz School and attend all types of events and activities. I feel blessed to have this opportunity to study abroad, and I am really looking forward to connecting with a lot of interesting people, taking advantage of the midtown Manhattan location and, of course, making new friends.

What do you want to do after graduation?
After graduation, I plan to apply all the experience and knowledge I learned related to data management to be able to tell the story behind data. I believe that there are so many organizations that need help tackling hard business decisions, and I will be ready to work with those problems.

I also plan to build my own startup someday and work along with data analysts and data scientists to create a powerful team that could assist other companies in many different ways.

If you could solve any problem in the world using data, what issue would you tackle?
I would definitely love to work in health-related problems. I read some articles from DataCamp, an online platform to learn data science, about the use of data to analyze lung cancer cells and how they differentiate from benign tumors. One article was about recognizing different patterns in tumor cells over hundreds of records and studying how they get bigger over time to predict their behavior and help doctors diagnose cancer in the early stages. I became very interested in learning more and using my expertise to help with this type of disease. There is a lot of work in this field already completed, but I am sure that there is much more to discover and solve.

Learn more about the Data Analytics and Visualization program.