CV
Work
Currently @Booking.com
2024 – now
Senior data scientist
2022 – 2024
Data scientist
Causal inference and experimentation for two-sided marketplaces
Previously @Danone Nutricia Research
2020 – 2022
Senior data scientist
Infant feeding patterns, feeding & growth, recipe optimisation with compositional data; causal inference, machine learning and data visualisation
2019 – 2020
Statistician
Statistical protocol design, interim and post-analysis for phase 2 early-life-nutrition trials
Previously at Leiden University Medical Center
2013 – 2018
Trainee researcher / PhD student
Education
2018
2013
MSc cum laude in Statistical science
Leiden University
2011
BSc in Applied mathematics
University of Bucharest
Tools & Skills
(^ = proficient = good ^ = basic)
Software development
R•••
Version control
git••
Coding languages
R•••, C++•, python•, bash•
Statistical software
SPSS••, SAS•
Typesetting
LaTeX•••, Markdown••
Data visualization
ggplot2•••, d3.js•
Web applications
shiny••
Biostatistics & survival
•••
Study design & epidemiology
••
Mixed models
••
Bayesian statistics
•
Machine / deep learning
•
R Expertise
- Full proficiency
- Data visualization (ggplot2)
- Data wrangling (tidyverse)
- Reporting & dashboards (rmarkdown, shiny)
- Package development and maintaining (frailtyEM, dynfrail)
Other Languages
- SAS, working experience
- SPSS, working & teaching experience
- Python, working experience
- C++, limited experience
- bash, intermediate experience
- LaTeX, working experience
- Markdown, working experience
- Scala, limited experience
Platforms
- Databricks, working experience
- SAS / LSAF, working experience