01 / Data engineering
NBA Stats Data Pipeline
An end-to-end pipeline bringing NBA data from extraction to an interactive Power BI dashboard.
I'm Camilo. I build data pipelines, analytics tools and intelligent systems that turn complex data into something useful.
Explore my workPortfolio / 01
Exploring data through sports,
engineering and machine learning.
01 / Data engineering
An end-to-end pipeline bringing NBA data from extraction to an interactive Power BI dashboard.
02 / Interactive analytics
Explore club and player performance across the 2011–2021 seasons in an interactive Python application.
View project

03 / Business intelligence
An interactive Power BI report for exploring Formula 1 data.
View project04 / Exploratory analysis
Analyzing NBA seasons from 2003 to 2019, with a focus on how three-point shooting changed after 2012.
View project05 / Machine learning
Estimating soccer player values from individual statistics using linear regression and random forests.
View projectOpen an interactive report below, or use the full-screen link for more room.
About / 02
I’m a Data Scientist at WildFork, part of JBS Group, working across data platforms, analytics engineering and applied AI.
I enjoy connecting the pieces: reliable pipelines, useful visualizations and new ways to ask questions of data. Outside of work, that curiosity often leads me to sports analytics and movies.
SQL · Snowflake · Airflow · dbt · Google Cloud
Python · Power BI · Streamlit · Applied AI
Have a project in mind?