Summary
Fernando Hidalgo is a data scientist with 10 years of experience building production-ready analytics and ML solutions, currently at Fetch Rewards and teaching data science remotely for General Assembly. He designs practical data products—like Rent Market App, a rental pricing tool powered by scikit-learn, Flask, and PostgreSQL—and has applied techniques from regression to topic modeling on real-world datasets. Fernando blends practitioner experience in media and consumer analytics with a passion for data visualization and data-for-good initiatives, regularly publishing work at fernandodata.com. His background in education and special needs support informs a user-centered approach to tooling and curricula, making complex analyses accessible to broader audiences.
10 years of coding experience
5 years of employment as a software developer
Data Science Course, Data Science Course at General Assembly
Bachelor of Science (B.S.), Philosophy & Economics, Bachelor of Science (B.S.), Philosophy & Economics at Rutgers University
English, Spanish