Data Scientist

Data Science & Research Chicago, Illinois, United States

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Summary

I am most proud of building systems and communities that create measurable impact at scale.

At a major utility company in Illinois, I designed and deployed a machine learning model to predict power outages across millions of poles and grid assets. By transforming infrastructure and environmental data into actionable risk forecasts, the model enabled more proactive maintenance planning and improved grid reliability, achieving a validation AUC of 0.87.

Academically, I was selected as one of only five students from a highly competitive applicant pool at univeristy to receive a fully funded scholarship for the Spring 2022 Startup Semester at the University of California, Berkeley.

During my master's, I was inducted as an Honorary Member of Upsilon Pi Epsilon (UPE), the international honor society for computing and information disciplines, in recognition of my academic excellence.

My research contributions include two peer-reviewed publications at IEEE and Springer conferences, with over ten citations to date. These experiences strengthened my ability to approach complex technical problems with rigor and communicate results clearly.

Beyond individual achievement, I am especially proud of building communities. As the founder and president of my university's Entrepreneurship Cell, I led and grew a network of 100+ startup enthusiasts, creating platforms for collaboration, mentorship, and early-stage idea development.

Expectations

In my next role, Im looking for the opportunity to solve technically challenging problems where data and machine learning directly drive business impact. Im especially interested in building scalable systems, whether thats production ML models, document intelligence pipelines, or data platforms that support reliable analytics and decision-making.

I value stability and being part of a team that prioritizes strong engineering standards, reproducibility, and measurable outcomes. Im also looking for a learning-oriented environment where I can deepen my expertise in production ML, cloud architecture, and LLM-based systems while contributing meaningfully to long-term projects.