Data Scientist · Senior · 10+ yrs

Meera Krishnamurthy

Head of Data Science / Principal Data Scientist

Professional summary

Data science leader with 12 years turning data into measurable P&L impact across fintech, retail and ride-hailing. Builds and leads data science teams (12–20), sets the experimentation and ML strategy, and translates statistics into board-level decisions. Owned model portfolios driving hundreds of crores in revenue and savings, established company-wide A/B testing standards, and mentors scientists into senior and staff roles.

S$140M

P&L influenced by models

600+

Experiments run per year

18

Data scientists led

Skills

Leadership

DS strategy & roadmapTeam building (12–20)Hiring & mentoringExec & board communicationData strategy & governance

Experimentation

A/B testing at scalecausal inferenceexperiment platformsstatisticsguardrail metricsincrementality

ML & methods

machine learningforecastinguplift modellingrecommender systemsPythonRSQL

Platform

scikit-learnSparkAirflowMLflowAWS / GCPTableauLooker

Work experience

Head of Data Science · Velora (regional fintech super-app)

Mar 2019Present

Singapore

  • Lead an 18-person data science org across credit, fraud, growth and forecasting, owning a model portfolio that influences a P&L of ~S$140M annually.
  • Set the ML and experimentation strategy and built the central A/B testing platform now running 600+ experiments/year, shifting the org from opinion-led to evidence-led launches.
  • Drove a credit-underwriting model overhaul (Python, gradient boosting) that cut losses 22% while expanding approvals 14%, adding an estimated ₹180 crore in annual lending margin.
  • Established the data strategy, feature store and model-governance review that took mean time-to-production for new models from 9 weeks to 3.
  • Hired 13 scientists and grew 5 into senior/staff roles; partnered with the CFO and CPO to make statistics a standing input to quarterly planning.

Lead Data Scientist · Tamarind Retail Group

Jul 2015Feb 2019

Bengaluru

  • Led a team of 7 building demand forecasting and pricing models across 600 stores, lifting gross margin 3.1 points and cutting stockouts 28%.
  • Introduced the company's first A/B testing discipline and Tableau executive dashboards, replacing intuition-based merchandising calls with measured experiments.

Data Scientist → Senior Data Scientist · Earlier roles — Mu Sigma, Flipkart

20132015

India

  • Built churn, segmentation and forecasting models in Python/R and SQL across analytics consulting and e-commerce; promoted twice for impact and mentoring.

Education

M.Stat (Master of Statistics)

2013

Indian Statistical Institute (ISI), Kolkata, Kolkata

B.Sc. Mathematics & Statistics

2011

St. Stephen's College, University of Delhi, New Delhi

Certifications

Google Cloud Professional Machine Learning Engineer

Google Cloud · 2022

Deep Learning Specialization

DeepLearning.AI / Coursera · 2020

Selected achievements

Cut credit losses 22% while expanding approvals 14%, adding ~₹180 crore in annual lending margin.

Scaled experimentation from ad-hoc to 600+ A/B tests/year on a central platform adopted org-wide.

Keynote, DataHack Summit 2023 — "Experimentation as a default: building an evidence-led company."

Mentor with a women-in-data fellowship; advises 2 early-stage startups on data strategy and ML hiring.

See the work in 3D

Explore Meera's interactive WebGL portfolio — projects, skills and a way to get in touch.