Marketing & Data Analyst with 10+ years in digital marketing (SEO, paid media, CRM, email, Google Analytics 4), now building a data portfolio. I combine business insight with Python, SQL, machine learning and automation to understand campaigns, customers and digital behavior. I have run paid social campaigns on Meta Ads end to end: strategy, budget, creative, execution, tracking in Google Analytics 4 and reporting on spend, conversions and ROAS. Based in Spain.
- Marketing Campaign Revenue Predictor: model that estimates a campaign's revenue from performance metrics such as clicks, conversions and spend. Random Forest with R² of 0.85 on the test set, Streamlit app and Docker deployment. Individual project, end to end.
- Tech & STEAM Certifications Guide: interactive web guide to compare certifications, costs, salaries and ROI, focused on Spain. Individual project. Live demo
- LLM Content Generator: product to generate social media drafts for a network of 20+ local businesses. Individual project; MVP in progress (FastAPI, RAG and LLM-generated drafts), code on the dev branch.
- Unsupervised ML Workshop: customer segmentation (8,950 credit card customers) and mushroom data analysis (8,124 records) with PCA, UMAP, K-Means, DBSCAN and anomaly detection. Group work; I made most of it (22 of 33 commits).
- TalentCare (also known as HR Pro): People Analytics platform to predict employee retention risk, using Stack Overflow survey data. Team project (31 of about 178 commits): I worked on the frontend, the Random Forest pipeline and the exploratory analysis. I am now continuing it as v2.
- Selenium Lead Scraper: automated lead generation for corporate opportunities from Google Maps. Academic prototype.
- Sentilife: mobile app for AI-assisted emotional wellbeing. My part: frontend (sensor capture, offline queue, monitored mode) and the telemetry contract for the ML model.
- Escape Room Booking System: my part: backend (database connection and CRUD endpoints for clients, sessions and bookings).
Used in published projects: Python, Pandas, scikit-learn, Jupyter, Streamlit, FastAPI, React, PostgreSQL, Docker, Selenium, Git. Used professionally: Google Analytics 4, Google Ads, Meta Ads, SEO, email marketing, CRM automation, Excel. Currently building public projects with: SQL and Power BI.