Summary
Carlos Ortiz is a data scientist with 11 years of experience, currently working on Trust & Safety at Snap Inc. He combines applied machine learning and causal/experimental thinking from teaching and curriculum work at UC Berkeley, where he scaled data-science education programs and developed ethics-centered coursework. Carlos has hands-on research experience analyzing bias in social-media moderation and building data-driven studies on immigrant communities’ political behavior. He’s skilled in Python tooling and production analytics, and has led teams and programs that expanded access for underrepresented students in data science. Based in Los Angeles, he blends product-focused engineering instincts with a strong commitment to responsible, human-centered data practices. An educator at heart, he repeatedly turns technical work into teachable case studies that bridge research, policy, and product impact.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Data Science, Bachelor of Arts - BA, Data Science at University of California, Berkeley
High School Diploma, High School Diploma at Sierra Vista High School
English, Spanish