Teru Watanabe is a Tokyo-based data scientist with 10 years of experience uncovering actionable insights and building predictive models across consulting, telecom, and analytics firms. He has progressed from software engineering to leading data science teams, most recently at Japan Data Science Consortium after senior roles at KSK Analytics and SoftBank. Teru combines statistical rigor (MIT MicroMasters) and practical machine learning applied to diverse industries, often translating analyses into business strategy and platforms. He has a track record of leading as a “playing manager,” delivering client impact while mentoring teams and driving cost-saving process improvements. Earlier experience as a project manager and bridge engineer honed his operational discipline and ability to run offshore, low-error deliveries at scale. Fluent in both technical delivery and client-facing strategy, he brings a blend of engineering roots and business acumen that helps organizations turn complex data into measurable value.
10 years of coding experience
16 years of employment as a software developer
MicroMasters, Statistics and Data Science, MicroMasters, Statistics and Data Science at Massachusetts Institute of Technology
Data Analyst Nanodegree, Data Mining & Machine Learning, Data Analyst Nanodegree, Data Mining & Machine Learning at Udacity
Bachelor of Health and Physical Education, Nutrition for Athletes, Bachelor of Health and Physical Education, Nutrition for Athletes at University of Tsukuba
Business Administration and Management, General, Business Administration and Management, General at University of the Philippines
Contributions:2 PRs, 14 pushes, 1 branch in 2 years 4 months
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