Rhea Anjali Gupta

S

Head of Data, Cairn Foods - rules engines · Python · anomaly detection

Cairn Foods
San Francisco, CA · PT (UTC-8)
14+ years experience
Northwestern University
English
Messaging unavailable

Overview

I've spent 18 years on fraud detection - first at PepsiCo, now at Cairn Foods. Taught SQL to 42 non-analysts. Cut false positives on payment blocks by 42%. Most at home with LightGBM and Python. I teach a weekend class on rules engines.

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Slower in the last week of each quarter

Skills
PyTorchSQLLightGBMrules enginesanomaly detectionPython

Experience

  1. Head of Data
    Sep 2024 - Present
    Cairn Foods · 2 yr 1 mo · Full-time · San Francisco, CA
    • Built the trust & safety models now used in 7 product decisions a quarter.
    • Taught SQL to 108 non-analysts.
    • Cut false positives on payment blocks by 23%.
  2. Senior Data Scientist
    Feb 2021 - Sep 2024
    Cloudflare · 3 yr 7 mo · Full-time · San Francisco, CA
    • Wrote the metric definitions the leadership team reviews every week.
    • Taught SQL to 98 non-analysts.
  3. Senior Data Scientist
    Nov 2018 - Dec 2020
    Apple · 2 yr 1 mo · Full-time · San Francisco, CA
    • Replaced 63 hand-built dashboards with one metrics layer people trust.
    • Cut false positives on payment blocks by 40%.
  4. Staff Data Scientist
    Dec 2015 - Jul 2018
    Oracle · 2 yr 7 mo · Full-time · San Francisco, CA
    • Caught $2 million of fraud in the first year of the new models.
  5. Senior Data Scientist
    Jun 2012 - Dec 2015
    PepsiCo · 3 yr 6 mo · Full-time · San Francisco, CA
    • Replaced 29 hand-built dashboards with one metrics layer people trust.

Projects

Fraud detection benchmark
2024

Reproducible benchmarks comparing LightGBM and PyTorch on real workloads.

References

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Education

  1. Northwestern University
    BA, Economics
    2003 - 2007

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