Doyun Kim
SSenior Data Scientist, Spindle Ops - SQL · Python · rules engines
- Spindle Ops
- Seoul, South Korea · KST (UTC+9)
- 7+ years experience
- Singapore Management University
- English, Korean
Messaging unavailable
Overview
I work on fraud detection at Spindle Ops in Seoul. Built the trust & safety models now used in 6 product decisions a quarter. Most at home with graph analytics and Python. Learning to draw.
Good reasons to reach out
- Working sessions on anomaly detection
- Second opinions on rules engines decisions
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- Courses and coaching offers
- Unpaid work or spec projects
- Crypto token projects
Fastest replies in the morning
Skills
rules enginesSQLgraph analyticsPythonLightGBManomaly detection
Experience
- Senior Data ScientistApr 2025 - PresentSpindle Ops · 1 yr 6 mo · Full-time · Seoul, South Korea
- Built the trust & safety models now used in 12 product decisions a quarter.
- Taught SQL to 112 non-analysts.
- Caught $9 million of fraud in the first year of the new models.
- Data AnalystSep 2023 - Apr 2025Kakao · 1 yr 7 mo · Full-time · Seoul, South Korea
- Taught SQL to 103 non-analysts.
- Cut false positives on payment blocks by 24%.
- Data ScientistJan 2022 - Sep 2023Stripe · 1 yr 8 mo · Full-time · Seoul, South Korea
- Wrote the metric definitions the leadership team reviews every week.
- Replaced 94 hand-built dashboards with one metrics layer people trust.
- Data ScientistOct 2019 - Jan 2022HSBC · 2 yr 3 mo · Full-time · Seoul, South Korea
- Caught $5 million of fraud in the first year of the new models.
- Wrote the metric definitions the leadership team reviews every week.
Projects
Fraud detection benchmark
2026Reproducible benchmarks comparing anomaly detection and SQL on real workloads.
References
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Education
- Singapore Management UniversityBBM, Economics2015 - 2019
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