Summary
Hamza Sayyid is a reliability-focused software engineer and Teaching Assistant completing a part-time MS in Computer Science at USC while driving automation and analytics as a Reliability Applications Engineer in Fremont, CA. With 11 years of experience, he leverages Python and data libraries (Pandas, NumPy, Matplotlib/Seaborn) to process millions of rows, automate workflows that saved hundreds of hours, and improve operations efficiency by over 40% while helping boost revenue through actionable reporting. He volunteers teaching AP Computer Science via Microsoft TEALS and has mentored underrepresented youth in programming and ML projects, demonstrating a strong commitment to widening access to tech. Comfortable turning messy data into clear forecasts and visual stories, Hamza blends hands-on engineering, data-first problem solving, and education to create practical impact across teams and communities.
11 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at University of Southern California
Electrical Engineering and Computer Science, Electrical Engineering and Computer Science at University of California, Berkeley
Ohlone College