Data scientist and researcher with a background in Computer Science and Econometrics. Loves building bespoke machine learning models designed to inform business actions. Enjoys learning, experimentation, and building things.

Education



MASTER IN PUBLIC ADMINISTRATION in INTERNATIONAL DEVELOPMENT (2016)

Harvard Kennedy School of Government, MA
econometrics, macroeconomics, microeconomics, data science, statistics, machine learning

BACHELOR OF ENGINEERING (ELEC.) /BACHELOR OF SCIENCE (COMP.) (Hons) 2004

University of Melbourne, Australia

Tools: Python (incl. pymc3, pytorch, pyspark), R, Stata, Scala, AWS/EC2, DataBricks Skills: Bayesian Inference, Optimization, Causal Inference, Statistical modelling, Machine Learning, Econometrics.


Experience



Senior Data Scientist (QuantumBlack, McKinsey & Company)

Cambridge, MA (Sep 2018 - current)

Graduate Research Fellow (Centre for International Development)

Cambridge, MA (Nov 2016 - Aug 2018)

Team Member/Economist (Office of the Chief Economic Advisor, Ministry of Finance)

New Delhi, India (June 2015 – Aug 2015 / Dec 2015 – Feb 2016)

Senior Associate, Global Markets Team (Clinton Health Access Initiative)

sub-Saharan Africa (Aug 2012 – Aug 2014)

Access to medicines/UNITAID Analyst (Clinton Health Access Initiative)

Kampala, Uganda (Jul 2011 – Aug 2012)

Manager – Technology Consulting (Accenture Pty. Ltd)

Melbourne, Australia (Mar 2005 – Jul 2011)


Publications and Presentations