Data Science & Society
Topic: TBD
Open PDFPhD Candidate · Quantitative Marketing
Hi, my name is Javier Torralba. I research and build data-driven stories about consumer behavior.
I focus on causal inference, machine learning, and clear communication to turn complex data into decisions. Below is my research, projects, and how to reach me.
Currently
Researching quantitative marketing
Analyzing consumer behavior with causal inference, machine learning, and careful storytelling.
- PhD Candidate, Tilburg University (2025 – present)
- MSc Data Science & Society, Cum Laude (2024)
- BSc Economics, Cum Laude (2023)
Thesis & Papers
Academic work
Download my thesis projects and related research.
Economics
Topic: TBD
Open PDFAbout
Data-first researcher with business impact
I blend econometrics, machine learning, and domain expertise to explain why people behave the way they do—and what to do next.
What I do
Design research and analytics that quantify consumer behavior, from causal inference to predictive modeling.
How I work
Methodical and collaborative: rigorous methodology, reproducible pipelines, and clear visual narratives.
What I value
Trust, clarity, and practical impact—making complex analyses understandable for stakeholders.
A look behind the data
Approachable and collaborative
Beyond research and code, I enjoy speaking with stakeholders, teaching students, and translating results into clear next steps.
Projects
Selected work & research
Recent projects spanning research, analytics, and applied data products.
Consumer switching in T-Mobile/Sprint merger
Analyzed U.S. telecom behavior post-merger to quantify switching rates and drivers using causal inference and machine learning.
- Causal inference, quasi-experimental design, machine learning
- Python, R, large-scale data processing, visualization
Growth AI Marketer
Built an end-to-end outreach system to increase agency sales by 60% through personalized, automated campaigns.
- Python, OpenAI API, lead scraping at 20k+ scale
- Automated 100k+ personalized emails with tracking
Dutch Apartment Finder
Created a notification pipeline that alerts users as soon as relevant housing listings go live.
- Python, APIs/web scraping, alerting
- Delivered 100+ housing alerts; helped secure 2 apartments
Capabilities
Tools & methods
Combining rigorous research methods with practical analytics and communication.
Data & Methods
Causal inference, econometrics, Bayesian modeling, forecasting, A/B testing, machine learning.
Programming
Python, R (tidyverse), SQL, APIs, Git/GitHub, data pipelines, AI/LLM applications.
Visualization
Data storytelling with dashboards and visuals; 250+ visualizations for research and stakeholders.
Teaching & Collaboration
Teaching data preparation/programming to 60+ students; clear documentation and cross-functional communication.
Contact
Let’s collaborate
Let’s discuss research, analytics, or collaboration opportunities.