Daniel Rakotomalala

Data scientist and project lead, DEPP

Hi. I’m Daniel, a data scientist and project lead at DEPP, the statistical directorate of the French Ministry of Education. The data project I work on is IDEE, Innovations, Data and Experiments in Education. I did a PhD in economics, which is where my interest in causal inference comes from. Most of my code is R, and I write packages that make empirical work easier to check and to reproduce.

Portrait of Daniel Rakotomalala

Experience and education

since 2024

Data scientist and IDEE project lead

DEPP, the statistical directorate of the French Ministry of Education

Project lead for the IDEE programme, in partnership with J-PAL Europe; statistical tooling and strategic large-scale data work for the directorate; statistical studies; technical training.

2022 – 2024

Data manager, IDEE programme

J-PAL Europe and DEPP

Responsible for the administrative-data track of the programme: public data catalogue and secure remote-access platform.

2021 – 2022

Teaching assistant in statistics and mathematics

Université de La Réunion

Undergraduate courses; built programs that generate varied statistics exercises.

2020 – 2021

Statistical studies and evaluation officer

Pôle emploi Réunion, regional directorate of the French public employment service

Quantitative evaluation of the effect of Pôle emploi employment services on return to work.

2018 – 2022

PhD in economics

Université de La Réunion

“Essay on some determinants of academic performances in Reunion Island”, supervised by Yves Croissant.

2016 – 2017

Master’s in applied economics, quantitative methods

Université de La Réunion

Quantitative methods and modelling for business; top of the class.

Selected projects

scrutr

R package for scrutinising collections of structured datasets: inspect, compare schemas and convert many tables at once.
R packageCRAN

genproc

R package that turns one-off iterative procedures into logged, reproducible, parallel and non-blocking runs.
R packageCRAN

cryptRopen

R package that pseudonymises variables across many datasets with a salted one-way hash, driven by one Excel mask.
R package

PhD thesis

Determinants of academic performance in La Réunion: age at exams, peer effects and a maths revision platform.
PhDEconomics
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Email rakdanielh [at] gmail [dot] com Phone +33 7 82 50 10 67