Tae Park
Product Data Analyst
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolTae Park is a product-focused data analyst and former elementary school teacher who blends 10 years of classroom and engineering experience to improve learning environments with AI and big data. With roles spanning software engineering for a 170K-MAU teacher community, co-founding a data-driven startup, and leading product analytics at 뤼튼테크놀로지스, Tae specializes in cohort and funnel analysis, BI dashboards, A/B testing, and event log design. He pairs hands-on engineering skills (Python, PHP, Ruby, AWS, Redis, Mixpanel) with pedagogical insight to translate educator needs into measurable product outcomes. Tae holds an MS in Data Mining from Seoul National University and a BEd, giving him a rare mix of research rigor and classroom empathy. Notably, he has migrated legacy datasets and implemented asynchronous file services with minimal disruption for classroom-facing platforms. He thrives at the intersection of education and data science, turning classroom problems into scalable analytic solutions.
10 years of coding experience
4 years of employment as a software developer
/ MS Data Mining, / MS Data Mining at Seoul National University/ Bachelor of Education - BEd Education, / Bachelor of Education - BEd Education at Seoul National University of Education
English, Chinese, Korean
Github Skills (1)
src5
Programming languages (2)
Github contributions (5)
fromptj/recommender_system
Jul 2021 - Jun 2022
Contributions:78 pushes, 1 branch in 11 months
fromptj/deep_learning_specialization
Sep 2021 - Feb 2022
Contributions:48 pushes in 5 months
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