懂色帝

When the spring 2025 semester ended, electrical and computer engineering graduate student Shreya Patel was just getting started. Throughout June and July, Patel was a research and analyst intern at Fund for the City of New York (FCNY).

FCNY is an organization committed to improving underserved communities鈥� quality of life, and its intersection of data, policy, and community impact attracted Patel to apply for the position. Envisioning her future career as one that benefits humankind, she credits her internship with placing her in the 鈥渆xact environment I see myself working in鈥攁t the crossroads of technology and public service.鈥�

No two days were the same, she says, but her work generally ranged from cleaning and organizing raw information to spotting trends that could influence policy decisions. Specifically, she turned numbers into plain-language insights, built simple visuals so those numbers made sense at a glance, and collaborated with staff to determine what those insights meant for people on the ground.

鈥淚 spent the summer digging into datasets that told the story of how city programs were running,鈥� Patel explains. 鈥淚 was able to solve problems that required both engineering skills and an understanding of human impact, which is exactly the blend I want in my career.鈥�

As an engineering student, Patel has spent years solving problems in the abstract, so she was thrilled to step into a role that empowered her to work on systems affecting real people and witness how data 鈥渕oves the needle鈥� in a city as complex as New York.

Even more exciting than the real-world application of her studies, though, were the unplanned moments of her workday, like being pulled into an unscheduled meeting or taking on messy datasets that others were reluctant to tackle.

Outside of the technical, her two months with FCNY taught her to better appreciate turning figures into something clear and useful for those unfamiliar with data-centered jargon. Patel says she was forced to focus on and think about the story behind the numbers鈥攁n epiphany that communication is just as critical as analysis.

鈥淚鈥檒l carry forward the skill of making complex information clear,鈥� she reflects. 鈥淎nalysis isn鈥檛 finished when the numbers are correct; it鈥檚 finished when the right people can understand and use it. I want to keep bridging that gap between technical detail and human decision-making, because that鈥檚 where the real impact happens.鈥�