Malini Swaminathan

S

Staff Data Scientist at Morgan Stanley · Recommendation systems · ranking, PyTorch

Morgan Stanley
Hyderabad, India · IST (UTC+5:30)
9+ years experience
Srishti Manipal Institute
English, Hindi, Telugu
Messaging unavailable

Overview

I've spent 10 years on recommendation systems - first at Groww, now at Morgan Stanley. Shipped a ranking change that increased conversion 4.1%. Replaced 81 hand-built dashboards with one metrics layer people trust. Before that: Qualcomm and Groww. Most at home with information retrieval and embeddings.

Good reasons to reach out
  • Advice on recommendation systems
  • Working sessions on embeddings
Please don't message about
  • Unpaid work or spec projects
  • Survey or panel invitations

Best reached early in the week

Skills
recommender systemsPyTorchrankingembeddingsinformation retrieval
AdvisingOpen to advising
closes in 3 months

Office hours for teams building their first data stack: recommendation systems and information retrieval

Topics
recommendation systems, information retrieval, recommender systems
Format
Calls
Terms
Free for early founders
Capacity
One call a month
Best for
Seed to Series A teams

10 years of recommendation systems. Prefer specific questions over coffee chats.

Hyderabad, Indiapytorchrecommender systemsinformation retrieval

Experience

  1. Staff Data Scientist
    Dec 2022 - Present
    Morgan Stanley · 3 yr 10 mo · Full-time · Hyderabad, India
    • Taught SQL to 75 non-analysts.
    • Built the recommendations models now used in 11 product decisions a quarter.
    • Wrote the metric definitions the leadership team reviews every week.
  2. Data Scientist
    Apr 2019 - Dec 2022
    Qualcomm · 3 yr 8 mo · Full-time · Hyderabad, India
    • Wrote the metric definitions the leadership team reviews every week.
    • Replaced 87 hand-built dashboards with one metrics layer people trust.
  3. Data Analyst
    May 2017 - Apr 2019
    Groww · 1 yr 11 mo · Full-time · Hyderabad, India
    • Moved the homepage from rules to a learned ranker.

Projects

Recommendation systems benchmark
2026

Reproducible benchmarks comparing ranking and PyTorch on real workloads.

Write-up: recommendation systems in practice
2024

A long-form guide to recommendation systems for people starting out.

References

No references yet.

Education

  1. Srishti Manipal Institute
    B.Des, Statistics
    2012 - 2016

Details

Compensation expectations
What they are targeting for their next role.
Visible to connections
Direct contact details
Direct email and a scheduling link.
Visible to connections

Trusted Partners

Sponsored