Nidhi Kajal Chaturvedi
SSenior Data Scientist at Plume AI · embeddings, Spark
- Plume AI
- Bengaluru, India · IST (UTC+5:30)
- 9+ years experience
- Symbiosis International University
- English, Hindi, Kannada
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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
- Senior Data ScientistJan 2025 - PresentPlume 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.
- Data AnalystJan 2022 - Jan 2025Myntra · 3 yr · Full-time · Bengaluru, India
- Taught SQL to 38 non-analysts.
- Data ScientistJun 2019 - Jan 2022Philips · 2 yr 7 mo · Full-time · Bengaluru, India
- Moved the homepage from rules to a learned ranker.
- Data AnalystOct 2017 - Jun 2019Nykaa · 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
2023What went wrong and what worked while scaling recommendation systems.
Recommendation systems benchmark
2022Reproducible benchmarks comparing Spark and embeddings on real workloads.
References
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Education
- Symbiosis International UniversityBBA, Economics2013 - 2017
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