Kalen Dacosta

I’m a recent Economics graduate with a minor in Computer Science, and I focus on turning messy data into business-ready insights. I combine analytical thinking with practical tools—SQL, Python, PostgreSQL, Tableau/Power BI, and statistical methods—to support reporting, decision-making, and research.

In my projects, I built end-to-end analytics workflows designed like a modern data stack. For a revenue data pipeline, I used PostgreSQL, ClickHouse, Airbyte, and Dagster, wrote SQL to validate transformations across related datasets, and created Power BI dashboards for analyst-ready outputs.

I also led an econometrics research project using Stata and OECD data, analyzing how GDP growth relates to unemployment across five countries from 1990–2023. I sourced and prepared the data, built a multiple regression model with macroeconomic control variables, and communicated findings using visual and residual analysis.

Beyond analytics, I bring strong execution habits from fast-paced work in kitchens, where I stayed organized under pressure and maintained quality and sanitation standards. I’m excited to bring that same reliability and curiosity to an analytics team.