Categories
Data Analysis
Exploration, visualisation and business insights from marketing and e-commerce data.
Machine Learning
Predictive models, causal inference and reinforcement learning applied to concrete use cases.
Visualisation
Interactive dashboards and data visualisations for decision-making.
Featured projects
Marketing Mix Modeling (Robyn)
Is your marketing budget well allocated? This model measures the real impact of each channel and identifies reallocations that improve ROI, distinguishing the causal effect of campaigns from statistical noise and underlying trend.
Using Meta’s Robyn framework for sales decomposition and marketing budget optimisation.
Technologies: R, Robyn, Prophet, Shiny
Causal Inference Platform
Did your campaign actually generate sales? This platform distinguishes the real effect of a commercial action from statistical noise, so you can measure what works before scaling it.
Complete A/B testing platform with Bayesian analysis and Causal ML for treatment effect measurement.
Technologies: Python, PyMC, CausalML, FastAPI, Streamlit
Marketing Analytics Pipeline
Are your marketing KPIs reliable and up to date? This pipeline automates the collection, processing and visualisation of marketing data, with a reproducible and maintainable architecture.
Complete ETL pipeline with BigQuery, dbt and real-time KPI dashboard.
Technologies: Python, BigQuery, dbt, Streamlit
Dynamic Pricing Engine
Do your prices react to demand? This engine optimises prices in real time according to market conditions, progressing from classical econometrics to reinforcement learning.
Technologies: Python, PyMC, Q-Learning, Streamlit