Master’s student in Data Science and Analytics at UT Austin.

About Me

I’m passionate about leveraging data to solve complex problems, particularly in areas like data analytics, data engineering, predictive modeling, natural language processing, and multimodal data integration.

Currently, I am a Data Science Intern at the Texas Department of Transportation, where I fine-tune large language models like BERT and build multimodal models for crash report classification. Previously, I worked as a Data Engineer at ZS Associates, where I designed and deployed ETL pipelines on AWS and Airflow, streamlined data ingestion workflows, and performed data analysis on commercial clinical data.

I completed my Bachelors in Computer Science from VIT Vellore, where I was an active member of the IEEE Computer Society student chapter.

My technical toolkit includes Python, SQL, AWS, Tableau, PySpark, Snwoflake and machine learning frameworks.

I thrive on creating meaningful insights from data and solving complex real-world challenges. Outside of work and academics, I enjoy a good matcha and some vegan sushi!