This summer, I had the privilege of serving as a Digital Operations & Analytics Intern with enFocus and an R&D Data Analyst with Re-volt Innovations LLC. Both experiences challenged me to apply my technical skills in new contexts while also teaching me the importance of adaptability, collaboration, and purpose-driven work.
At enFocus, I contributed to the Citywide Classroom initiative, which aims to expand equitable broadband access across the South Bend–Mishawaka region. My role involved building automated data pipelines using Monday.com and NetCloud APIs, conducting exploratory data analysis, and developing dashboards with Google Data Studio and Python. These tools allowed our team to identify access disparities and measure program impact more effectively. I also designed Zapier workflows to automate reporting and alerting processes, reducing manual work and enabling real-time monitoring. Through this, I discovered how much I enjoy building solutions that streamline operations and make data accessible to decision-makers.
Meanwhile, at Re-volt Innovations, I applied data analysis and electrical modeling to evaluate copper-clad aluminum windings in AC motors. This project—focused on reducing material costs and improving energy efficiency in electric vehicles—was an exciting bridge between technology and sustainability. Beyond technical contributions, I helped co-author a business plan with market analysis and impact projections, which advanced the project to the MVP stage. Working in this entrepreneurial environment taught me to think beyond engineering details and consider how innovation translates into real-world value.
Reflecting on the summer, I saw how my background in Mathematics and Computer Science directly shaped my contributions. The analytical rigor from math helped me break down complex problems—whether modeling motor efficiency or evaluating broadband data—into structured, solvable steps. At the same time, computer science equipped me with the tools to build automated pipelines, design dashboards, and translate raw information into meaningful insights. Together, these experiences affirmed my long-term goal of applying quantitative reasoning and computational methods to tackle real-world challenges at the intersection of data, technology, and social impact.
I am grateful to Wabash and enFocus for making this opportunity possible. Their support gave me the chance to grow not just as an intern, but as a person ready to contribute meaningfully to the challenges ahead.
