Marketing and data analyst. MSc in Business Analytics (MUBA), Universidad Pontificia Comillas — ICADE, and a Marketing degree from ESIC. I work at the point where the two meet: business questions answered with models and data.
- Machine learning — supervised classification and regression, model comparison, interpretability with SHAP
- NLP — topic modeling and text mining on multilingual corpora
- Deep learning — recurrent architectures for time series forecasting
- Data analytics — exploratory analysis, data quality, visualisation
- Marketing analytics — lead scoring, audience and campaign analysis
Six case studies, each with the method, the metrics and the code behind it.
| Repository | What it is |
|---|---|
| admissions-lead-scoring-rag | Master's thesis. Lead scoring for university admissions: A/B/C prioritisation, temporal validation across intakes, and a RAG assistant. No data published. |
| retail-demand-forecasting-rnn | Demand forecasting with SimpleRNN, LSTM, GRU and BiLSTM against a moving-average baseline, under strict chronological splits. |
| video-game-sales-prediction | Supervised regression: baseline, linear, KNN and Gradient Boosting, with GridSearchCV, SHAP and metrics on two scales. |
| letterboxd-topic-modeling | LDA on multilingual film reviews, and what it means when three of six topics turn out to be languages rather than themes. |
| atp-tennis-betting-analysis | EDA of 11,794 ATP matches against betting odds, and why no simple strategy beats the house edge. |
| lipton-summer-shake-up | Brand strategy and campaign for Lipton Ice Tea and Gen Z: mixed-method research, creative concept and budget. |
Three of these are team projects; authorship is stated in each repository.
LinkedIn · Madrid, Spain