I am a Data Professional / Analyst with a Master of Public Health in Biostatistics and software development experience, combining applied data science, analytics, and public health knowledge to turn complex data into actionable insights that improve lives.

After grad school, I explored different applications of data—from data science and ML to full-stack development in order to understand where my skills fit best. Through this exploration, especially my work at Health Equity Tracker building ETL pipelines and analyzing public health data with SQL and Python, I realized my passion leans more towards data analysis: extracting insights from complex datasets and communicating findings that drive decisions.

I combine strong statistical foundations from my MPH, technical skills in SQL and Python, and epidemiological and public health domain knowledge. The technical skills I gained along the way, including data engineering and full-stack development, make me a stronger data professional who understands how data systems work end-to-end.