Daniel Camacho

I've built scalable data architectures, ETL pipelines, and Business Intelligence dashboards at FYCO and KAIMIND, turning large and complex datasets into actionable reporting.

At KAIMIND, I lead data analysis and develop automated regulatory reporting systems using PostgreSQL data lakes and custom Streamlit interfaces. I use Python, Machine Learning, Deep Learning, and data mining to identify business opportunities and create repeatable internal processes.

Previously, at Universidad de los Andes, I applied statistical, Machine Learning, Python, and R models to academic research datasets. I'm a statistician who enjoys translating complex numbers into clear narratives that support data-driven decisions.