Nidhi Kajal Chaturvedi

S

Senior Data Scientist at Plume AI · embeddings, Spark

Plume AI
Bengaluru, India · IST (UTC+5:30)
9+ years experience
Symbiosis International University
English, Hindi, Kannada
Messaging unavailable

Overview

I've spent 9 years on recommendation systems - first at Nykaa, now at Plume AI. Built the recommendations models now used in 12 product decisions a quarter. Moved the homepage from rules to a learned ranker. Most at home with PyTorch and ranking. Travel slowly, usually by train.

Good reasons to reach out
  • Questions about recommendation systems
  • Speaking or podcast invitations
Please don't message about
  • Unpaid work or spec projects
  • Generic networking requests
  • Data broker offers
Skills
PyTorchPythonembeddingsrecommender systemsrankingSpark

Experience

  1. Senior Data Scientist
    Jan 2025 - Present
    Plume AI · 1 yr 9 mo · Full-time · Bengaluru, India
    • Replaced 24 hand-built dashboards with one metrics layer people trust.
    • Shipped a ranking change that increased conversion 4.2%.
    • Built the recommendations models now used in 12 product decisions a quarter.
  2. Data Analyst
    Jan 2022 - Jan 2025
    Myntra · 3 yr · Full-time · Bengaluru, India
    • Taught SQL to 38 non-analysts.
  3. Data Scientist
    Jun 2019 - Jan 2022
    Philips · 2 yr 7 mo · Full-time · Bengaluru, India
    • Moved the homepage from rules to a learned ranker.
  4. Data Analyst
    Oct 2017 - Jun 2019
    Nykaa · 1 yr 8 mo · Full-time · Bengaluru, India
    • Replaced 81 hand-built dashboards with one metrics layer people trust.

Projects

Conference talk: lessons from recommendations
2023

What went wrong and what worked while scaling recommendation systems.

Recommendation systems benchmark
2022

Reproducible benchmarks comparing Spark and embeddings on real workloads.

References

No references yet.

Education

  1. Symbiosis International University
    BBA, Economics
    2013 - 2017

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