Data Scientist

Background in Computer Science, Development Economics, and Econometrics. Loves building bespoke machine learning models to inform business actions. Enjoys learning, experimentation, and building things.

Harvard University

MPA/ID, Kennedy School of Government

Cambridge, USA

2016

Areas of study: econometrics, macroeconomics, microeconomics, data science, statistics, machine learning

Thesis: Redesigning India’s Urea Policy (awarded best policy paper)

University of Melbourne

B.Eng (Electrical) & B.Sci (Computer)

Melbourne, Australia

2004

Thesis: Adaptive Clustering for Network Intrusion Detection

Data Science Director

IDInsight

Cambridge, USA

current - April 2020

• Establishing and growing the data science function within the organisation.
• Helping clients discover how data science can address their business challenges.
• Tech lead / lead data scientist on multiple projects.
• Example Projects:
  • Predictive model to locate out of school girls in India
  • FAQ Whatsapp bot for vaccine hesitancy for Govt of South Africa.
  • Service for matching beneficiaries with eligible government benefits in India.
  • Optimising school infrastructure investment for the government of Morocco.

Senior Data Scientist

Coles Pty Ltd

Melbourne, Australia

2020 - 2019

• Built forecasting engine for supermarket items at the store level.
• Designed and led the build of a forecasting engine for new items.
• Contributed to an internal package for discrete choice models.
• Led knowledge sharing on choice models and causal inference.

Senior Data Scientist

QuantumBlack, McKinsey

Cambridge, USA

2019 - 2018

• Pharma - Mined electronic medical records to understand causes of patient switching behavior.
• Disaster recovery - Developed Monte Carlo models to quantify uncertainty in key milestones to inform mitigation strategies.
• Chemicals manufacturing - Identified root cause of variability in production yields. Optimized manufacturing process using genetic algorithms.
• Internal R&D - Contributed to an internal package for causal inference using Bayesian Networks.

Graduate Research Fellow

Centre for International Development

Cambridge, USA

2018 - 2016

• Developed statistical models to identify export sector growth opportunities at sub-national level in Colombia.
• Built collaborative filtering models to predict rural agricultural diversification and recommended possible areas for investment in Colombia.
• Used Collaborative Filtering and network analysis to understand patterns in global tourism using credit card transactions data.
  
  

Team Member/Economist

CEA’s Office, Ministry of Finance

New Delhi, India

2016 - 2015

• 2016 Economic Survey – Conducted analysis and wrote the chapter on fertilizer subsidy in the 2016 Indian Economic Survey.
• Policy reform for fertilizer – Demonstrated how current policy leads to shortages and black markets. Worked with Ministry of Fertilizer & Chemicals to design a new policy that was presented to the cabinet.

Senior Associate

Clinton Health Access Initiative

sub-Saharan Africa

2014 - 2012

Access to Medicines/UNITAID Analyst

Clinton Health Access Initiative

Kampala, Uganda

2012 - 2011

Manager, Technology Consulting

Accenture Pty. Ltd

Melbourne, Australia

2011 - 2005

Using machine learning to improve education intervention targeting

CIES 2021 Conference Session

N/A

2021

Redesigning India’s Urea Policy, Harvard Kennedy School,

MPA/ID Final Capstone Paper

N/A

2016

Economic Survey of India

Ministry of Finance, Government of India

N/A

2016

Adaptive Clustering for Network Intrusion Detection

PAKDD 2004: 255-259

N/A

2004