Nithya Kutty

S

Director of Data Science at Groww · Fraud detection · rules engines, Python

Groww
Kochi, India · IST (UTC+5:30)
12+ years experience
IIT Guwahati
English, Hindi, Malayalam
Messaging unavailable

Overview

Director of Data Science at Groww, focused on fraud detection. Replaced 44 hand-built dashboards with one metrics layer people trust. Cut false positives on payment blocks by 20%. Before that: Nvidia and Ola. Most at home with SQL and Python. Plant-based cook and baker.

Good reasons to reach out
  • Advice on fraud detection
  • Second opinions on SQL decisions
  • Working sessions on rules engines
Please don't message about
  • Data broker offers
  • Courses and coaching offers
  • Agency or outsourcing pitches

Checks messages twice a week

Skills
rules enginesanomaly detectionSQLPython
AdvisingOpen to advising
closes in 3 months

Office hours for analysts moving into data science: fraud detection and SQL

Topics
fraud detection, anomaly detection, rules engines
Format
Calls
Terms
Free for early founders
Capacity
One advisory role at a time
Best for
Engineers moving into leadership

12 years of fraud detection. Small equity or paid hours - flexible.

Kochi, Indiaanomaly detectionsqlpython

Experience

  1. Director of Data Science
    May 2025 - Present
    Groww · 1 yr 5 mo · Full-time · Kochi, India
    • Wrote the metric definitions the leadership team reviews every week.
    • Replaced 61 hand-built dashboards with one metrics layer people trust.
    • Taught SQL to 118 non-analysts.
  2. Data Scientist
    Mar 2022 - May 2025
    Nvidia · 3 yr 2 mo · Full-time · Kochi, India
    • Replaced 84 hand-built dashboards with one metrics layer people trust.
    • Taught SQL to 182 non-analysts.
  3. Data Analyst
    Jul 2019 - Nov 2021
    Ola · 2 yr 4 mo · Full-time · Kochi, India
    • Cut false positives on payment blocks by 26%.
  4. Data Scientist
    Sep 2016 - Jul 2019
    Walmart Global Tech · 2 yr 10 mo · Full-time · Kochi, India
    • Replaced 73 hand-built dashboards with one metrics layer people trust.
    • Wrote the metric definitions the leadership team reviews every week.
  5. Data Scientist
    Nov 2014 - Sep 2016
    Groww · 1 yr 10 mo · Full-time · Kochi, India
    • Taught SQL to 69 non-analysts.

Projects

Side project: a reading list app
2023

Built with SQL and Python. 3536 people used it last year.

Fraud detection benchmark
2022

Reproducible benchmarks comparing anomaly detection and rules engines on real workloads.

References

No references yet.

Education

  1. IIT Guwahati
    B.Tech, Operations Research
    2010 - 2014

Details

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