Summary
Daniel Quandt is a data-driven solutions leader with 8 years of experience building end-to-end analytics and ML systems across startups and scale-ups, currently leading Solutions Engineering at IPinfo. He combines hands-on expertise in BigQuery/dbt pipelines, Python/Pandas, and generative AI (Stable Diffusion) with a track record of architecting pipelines that process dozens of terabytes daily and shipping revenue-driving models for hospitality and internet-data products. Comfortable translating technical complexity for executives and practitioners alike, he has led small data teams, consulted on pricing systems, and taught data literacy to large cohorts. A dual US–Brazil citizen based in São Paulo, Daniel pairs relentless curiosity—evident in a habit of cycling through hobbies every couple of weeks—with a competitive streak as a board gamer.
8 years of coding experience
7 years of employment as a software developer
DS4A Latam Honors Graduate, DS4A Latam Honors Graduate at Data Science for All by Correlation One
University of São Paulo
Portuguese, English, Spanish