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Meera Krishnamurthy

Head of Data Science / Principal Data Scientist

Singapore • +65 8123 4408 • meera.krishnamurthy@proton.me • linkedin.com/in/meera-krishnamurthy-ds • github.com/meerakds

Portfolio: www.eliorexa.com/portfolio/data-scientist-senior

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.

Skills

Leadership: DS strategy & roadmap, Team building (12–20), Hiring & mentoring, Exec & board communication, Data strategy & governance

Experimentation: A/B testing at scale, causal inference, experiment platforms, statistics, guardrail metrics, incrementality

ML & methods: machine learning, forecasting, uplift modelling, recommender systems, Python, R, SQL

Platform: scikit-learn, Spark, Airflow, MLflow, AWS / GCP, Tableau, Looker

Core Competencies

data science leadership · experimentation strategy · A/B testing · machine learning · statistics · Python · R · SQL · forecasting · causal inference · data strategy · Tableau

Work Experience

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

Mar 2019 – Present

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 2015 – Feb 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

2013 – 2015

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.