Summary
Gino Baltazar is a data platform engineer with eight years of experience applying data science, finance, and systems engineering to build scalable analytics and platform solutions, currently at Meta. He blends hands-on skills in Python, Spark, SQL, and cloud infrastructure with a background in legacy enterprise systems (MCSE, CNE, CCNA) to bridge modern data stacks and operational reliability. Gino teaches data science at the University of Pennsylvania, translating complex ML concepts—NLP, fraud detection, and classical/ML modeling—into practical coursework and team enablement. He’s passionate about social impact technology, contributing to programs at UPenn, ConservationX Labs, and Consensys, and explores blockchain development with Solidity and Web3 tooling. Colleagues rely on him to turn messy data and operating-model challenges into product-grade pipelines and insights. He’s equally comfortable prototyping models and hardening production data platforms, a combination that accelerates deployment while managing risk.
8 years of coding experience