Summary
Hideaki Owada is a data science specialist with 15 years of experience applying machine learning, time series analysis, and Python-driven analytics to drive measurable business outcomes in HR, finance, and consumer domains. Based in Chiyoda, Japan, he combines a practical MEMS (Economics & Management Science) background from Humboldt-Universität zu Berlin with hands-on engineering and delivery experience at Pioneer Electronics, where he has led KPI design, ML Ops, and LLM-augmented automation that cut annotation effort by up to 40%. He has a strong track record of turning large, messy enterprise datasets (including cross-bank transaction records) into production-ready models and dashboards, and has improved processes such as sales forecasting, NPS-driven strategy, and demand planning. As a former project manager and scrum master, he blends technical depth with product-minded leadership, roadmap definition, and stakeholder reporting to directors. Notably, he has repeatedly shortened operational workflows—from survey processing to sales verification—by architecting SQL/server migrations and automated pipelines.
15 years of coding experience
9 years of employment as a software developer
Bachelor, Mathematics, Bachelor, Mathematics at 立教大学 / Rikkyo University
Master of Science, MEMS (Master of Economics and Management Science), Master of Science, MEMS (Master of Economics and Management Science) at Humboldt-Universität zu Berlin