Prachi Sureshkumar Aswani, Data Analyst on Influential Women

Influential Woman · Data Science

Prachi Sureshkumar Aswani

Data Analyst, Datafy

Kaysville, UT

5Years experience
1Award received

Certifications · Degrees · Memberships

Degree University of Utah - Undergraduate Degree (Expected December 2026) Cert Global Career Accelerator Program - Data Analysis Certificate Cert Global Career Accelerator Program - Data Visualization Certificate Cert Intercultural Skills and Communications Certificate Member Grand Challenge Scholars Program

Her Story

About Prachi

My journey into data science began in an unexpected way. In high school, I planned to pursue medicine because I wanted a career that would allow me to improve people’s lives. At the time, I viewed coding as impersonal and could not imagine myself working in technology. My mother encouraged me to take computer science as a backup, and although I strongly resisted the idea, one introductory class completely changed my perspective.


During that first class, I learned that computer science and data science influence nearly every part of our lives. I realized that technology could improve healthcare, strengthen public policy, support financial decision-making, and help communities respond to real-world challenges. Data science would not limit me to one field. Instead, it would give me the freedom to learn continuously and create an impact across many different domains.


Today, I am completing a Bachelor of Science in Data Science with a minor in Information Systems at the University of Utah. Most recently, I completed an Engineering Summer Analyst internship at Goldman Sachs, where I built solutions related to liquidity analysis, financial forecasting, reporting automation, and full-stack development. I have also worked as a Junior Data Analyst at Datafy, using data analysis, SQL, Tableau, and dashboards to help transform client data into useful business insights.

My research focuses on improving public communication during crises. At the Kahlert School of Computing, I analyze more than one million social media responses using machine learning and natural language processing. The goal is to understand how people react to government messages during emergencies and help policymakers communicate in ways that reduce confusion, address public concerns, and build trust. I have presented this research at Research on Capitol Hill and published it in the RANGE Undergraduate Research Journal.


Outside of work and research, I serve as President of the University of Utah Data Science Club. I want students, especially women and those who are new to technology, to feel that they belong in this field. My path has taught me that we do not always begin by loving the work we are meant to do. Sometimes, one unexpected opportunity changes our understanding of what is possible. My goal is to continue building technology that combines analytical rigor with empathy and creates a measurable difference in people’s lives.

Her Interview

Ten minutes with Prachi

01What do you attribute your success to?

I attribute my success first to my parents, who made sacrifices to give me opportunities they never had and taught me to work hard, remain grounded, and believe that no dream is too ambitious. Their faith in me gave me the confidence to take chances, especially when I was unsure of myself.


I also credit my mentors, who recognized potential in me before I always recognized it in myself. Their guidance and encouragement helped me develop the confidence to speak up, share my ideas, pursue unfamiliar opportunities, and learn from failure instead of fearing it.


I have always been someone who wants to experience everything life has to offer. When I see an opportunity to learn, lead, conduct research, build something, or make a difference, I find it almost impossible to resist. Sometimes that means my schedule becomes incredibly full, but every experience introduces me to new people, perspectives, and possibilities. My success has come from saying yes to opportunities that challenge me, while carrying with me the values my parents instilled and the confidence my mentors helped me discover.

02What’s the best career advice you’ve ever received?

The best career advice I have received is that I should never reject myself before someone else has the opportunity to consider me. It is easy to look at an internship, research opportunity, leadership position, or ambitious project and decide that I am not experienced enough or completely prepared. I have learned to apply, ask the question, share the idea, and allow myself to be considered.

Many of the most meaningful opportunities in my life began when I stepped outside my comfort zone. I have also learned that readiness does not mean knowing everything in advance. It means being willing to learn, ask for help, accept feedback, and work hard enough to grow into the opportunity.

03What advice would you give to young women entering your industry?

My advice to young women entering technology is to never assume that they do not belong simply because they do not see many people like themselves in the room. You do not need to know everything before you begin, and you should never allow one difficult class, rejection, or moment of self-doubt to determine what you are capable of becoming.


Develop your technical skills, but also invest in communication, leadership, and relationships. Ask questions, seek mentors, share your ideas, and pursue opportunities even when you do not meet every qualification. Your perspective is valuable precisely because it may be different from those already represented in the field.


I once believed that coding was not for me, yet one class changed the direction of my life. Remain open to unexpected paths. The opportunity you resist or fear may be the one that reveals what you are capable of accomplishing.

04What are the biggest challenges or opportunities in your field right now?

One of the greatest opportunities in data science is its ability to create meaningful change across almost every domain, including healthcare, public policy, finance, education, and crisis response. However, the growing influence of artificial intelligence also creates an important challenge: technical capability is advancing faster than our ability to guarantee that every system is accurate, fair, transparent, and aligned with human needs.


The field needs professionals who can do more than build sophisticated models. We need people who can understand the communities affected by technology, communicate complex findings clearly, recognize bias, protect privacy, and consider the consequences of the decisions their systems influence. Another challenge is closing the gap between technical teams and the people who use their work. A powerful model has limited value if decision-makers cannot understand or trust its results.


I see this challenge as an opportunity to make data science more interdisciplinary and human-centered. The future belongs to professionals who can combine technical expertise with empathy, ethical judgment, leadership, and communication.

05What values are most important to you in your work and personal life?

The values most important to me are impact, integrity, empathy, curiosity, and perseverance. I want my work to solve real problems and improve people’s lives, but meaningful impact must be created responsibly. That means being honest about what the data can and cannot tell us, protecting the people represented within it, and considering how a technological solution may affect different communities.


Empathy is equally important because technology is ultimately built for people. I believe the best solutions come from listening carefully, understanding different perspectives, and treating every teammate and stakeholder with respect. Curiosity pushes me to continue learning, while perseverance helps me move forward through difficult problems, uncertainty, and rejection.


In both my professional and personal life, I want to be someone others can trust: a person who takes ownership, follows through on commitments, supports those around her, and uses every opportunity to create something meaningful.

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