Summary
Muhammad Syahputra is a Data & AI Manager with 11 years of experience who blends a food science background and sensory expertise with strong data engineering, analytics, and dataviz skills. He leads data and AI strategy at Sekolah.mu, building scalable pipelines, near-real-time insights via CI/CD automation, and applied ML to inform product and policy decisions across edu-tech, gov-tech and food-tech. Highly proficient in R and SQL, he regularly turns complex experimental and sectoral datasets into clear visual stories and has created bespoke software for sensory data collection and analysis. As an instructor and mentor at DQLab and universities, he translates technical methods into practicable training and corporate modules, including advanced visualization and sensory analytics. Based in West Java, Indonesia, he pairs academic training from Wageningen and Brawijaya with a practitioner’s focus on reproducible, production-ready analytics.
11 years of coding experience