Doyun Kim

S

Senior 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

  1. Senior Data Scientist
    Apr 2025 - Present
    Spindle 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.
  2. Data Analyst
    Sep 2023 - Apr 2025
    Kakao · 1 yr 7 mo · Full-time · Seoul, South Korea
    • Taught SQL to 103 non-analysts.
    • Cut false positives on payment blocks by 24%.
  3. Data Scientist
    Jan 2022 - Sep 2023
    Stripe · 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.
  4. Data Scientist
    Oct 2019 - Jan 2022
    HSBC · 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
2026

Reproducible benchmarks comparing anomaly detection and SQL on real workloads.

References

No references yet.

Education

  1. Singapore Management University
    BBM, Economics
    2015 - 2019

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