Curriculum
I have experience in topics related to machine learning and statistics. My work spans from projects on image classification and object detection to optimizing business metrics using machine learning and measuring results with causal inference techniques, both in experimentation frameworks and with observational data.
Starting from hardware in my uni, I switched to the software world in my first job at Epic Labs. After working there with deep learning for a year, I decided to strengthen my knowledge by pursuing a master's degree, during which I also joined a research group working on fraud detection with deep learning and blockchain.
After completing my master’s, I returned to Epic Labs, where I worked on their product Lightflow, which was later acquired by Haivision. There I contributed to machine learning algorithms for video optimization and data streaming.
I then joined Cabify as a Senior Data Scientist in the pricing team, where I led initiatives on dynamic pricing strategies with causal inference, and behavioral economics, helping to improve marketplace efficiency and revenue.
Later, I moved to Busuu, where I helped built the experimentation engine, and worked on user LTV modeling, and features powered by Large Language Models and Automatic Speech Recognition to enhance the learning experience. After a period at MoonPay as a Senior Growth Data Scientist in the monetization team, where I defined and optimized pricing strategies and applied advanced causal inference techniques, I returned to Busuu.
Currently, I am working at Busuu on features that leverage statistics and Generative AI to better understand and correct learners’ mistakes, with the goal of improving the personalization and effectiveness of the learning process.
Work Experience
Senior Data Scientist at Busuu | July 2025 - Actual
Senior Growth Data Scientist at MoonPay | December 2024 - July 2025
Senior Data Scientist at Busuu | October 2023 - December 2024
Senior Data Scientist at Cabify | May 2022 - October 2023
Data Scientist at Haivision | March 2020 - May 2022
Machine Learning Engineer at LightFlow (acquired by Haivison) | June 2019 - March 2020
Deep Learning and Blockchain Researcher at GAPS, UPM | September 2018 - June 2019
Deep Learning Engineer at Epic Labs | July, 2017 - July 2018
Researcher Microwave and Radar group, UPM | September 2015 - June 2017
Education
Master in Signal Processing and Machine Learning for Big Data, UPM Madrid, Spain | 2018 - 2019
Electrical Engineering and Computer Science degree, UPM Madrid, Spain | 2013 - 2017
Published Papers
- Video Tampering Detection for Decentralized Video Transcoding Networks | Springer, 2020
- Materiality analysis in sustainability reporting: Insights from large Spanish companies | Wiley, 2024
Published Books
- En qué piensan los robots | Deusto, 2024
Complementary Education
I have extended my education studying:
- Causal Inference in Statistics: A primer
- Statistical Rethinking
- Causal Inference and Discovery in Python
- Generalized Additive Models: an introduction with R
And doing in Coursera:
- Crash Course in Causality: Inferring Causal Effects from Observational Data
- Essential Causal Inference Techniques for Data Science
- Statistical Modeling for Data Science Applications Specialization:
- Modern Regression Analysis in R
- ANOVA and Experimental Design
- Generalized Linear Models and Nonparametric Regression
- Practical Time Series Analysis
- Practical Machine Learning
- Regression Models
- Statistical Inference
- Bayesian Statistics: From Concept to Data Analysis