Shalini Uma Natarajan

Head of Data at Prism Pay · Demand forecasting

Prism Pay

Hyderabad, India · IST (UTC+5:30)

13+ years experience

Srishti Manipal Institute

English, Hindi, Telugu

Hiring

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Overview

I lead demand forecasting at Prism Pay in Hyderabad. Built the forecasting models now used in 7 product decisions a quarter. Reduced stock-outs by 27% in the first season. Before that: Freshworks and Mphasis. Board games, hiking, and terrible puns.

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Skills

time seriesinventory optimisationProphetPythonSparkSQL

HiringHiring for a role

closes in 3 months

Hiring a founding data scientist for the forecasting team - Hyderabad

Role: Founding data scientist
Level: Senior
Type: Full-time
Work mode: Remote within country
Compensation: ₹24-60 LPA
Team: Forecasting, 15 people
Start: This quarter
Must have: Strong SQL and statistics Turns analysis into decisions Clear written communication
Process: Two interviews and a paid trial day

Comp ₹32-76 LPA. We decide within ten days. Message me with one thing you shipped that you're proud of.

Hyderabad, Indiaprophetpythontime series

Open

Experience

Head of Data
Feb 2025 - Present
Prism Pay · 1 yr 8 mo · Full-time · Hyderabad, India
- Built the forecasting models now used in 3 product decisions a quarter.
- Reduced stock-outs by 36% in the first season.
- Replaced 68 hand-built dashboards with one metrics layer people trust.
Director of Data Science
Jul 2021 - Jan 2025
Freshworks · 3 yr 6 mo · Full-time · Hyderabad, India
- Cut forecast error from 27% to 12% across 2114 SKUs.
Senior Data Scientist
Sep 2018 - Jul 2021
Mphasis · 2 yr 10 mo · Full-time · Hyderabad, India
- Built the forecasting models now used in 11 product decisions a quarter.
Data Scientist
May 2015 - Sep 2018
Goldman Sachs · 3 yr 4 mo · Full-time · Hyderabad, India
- Reduced stock-outs by 22% in the first season.
- Wrote the metric definitions the leadership team reviews every week.
Analytics Manager
Dec 2013 - May 2015
Ola · 1 yr 5 mo · Full-time · Hyderabad, India
- Reduced stock-outs by 28% in the first season.

Projects

Conference talk: lessons from forecasting

2025

What went wrong and what worked while scaling demand forecasting.

References

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Education

Srishti Manipal Institute
B.Des, Physics
1999 - 2003

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