A selection of projects demonstrating my expertise in data analysis, machine learning, and data engineering.
Exploration, visualization, and business insights from marketing and e-commerce data.
Predictive models, causal inference, and reinforcement learning applied to real-world use cases.
Interactive dashboards and data visualizations for decision-making.
Business question: How to reallocate marketing budget to maximize sales?
Using Metaβs Robyn framework to measure the impact of each marketing channel and optimize budget allocation.
Technologies: R, Robyn, Prophet, Shiny
Business question: What is the real impact of our email campaigns on conversions?
Complete A/B testing platform with Bayesian analysis and Causal ML to measure treatment effects.
Technologies: Python, PyMC, CausalML, FastAPI, Streamlit
Business question: How to track marketing channel performance in real-time?
Complete ETL pipeline with BigQuery, dbt, and Streamlit dashboard for marketing KPI tracking.
Technologies: Python, BigQuery, dbt, Streamlit
Business question: How to optimize prices in real-time based on demand?
Progression from econometrics to Reinforcement Learning for dynamic pricing (Uber/Lyft case).
Technologies: Python, PyMC, Q-Learning, Streamlit
Iβd be happy to discuss your needs and see how these approaches can apply to your context.