Über Andrea
I help marketing teams make confident, evidence-based decisions when attribution is unclear, experiments are hard to trust, and stakeholders need clear answers.
I specialize in marketing measurement and causal inference, with hands-on experience across:
- Marketing Mix Modeling (MMM)
- Geo-based experiments and lift tests
- Incrementality testing
- Causal impact analysis
I typically work with teams that:
- spend significant marketing budgets
- operate in privacy-constrained environments
- struggle to reconcile different measurement approaches
- need defensible insights to guide budget allocation
I help designing measurement approaches that work in real-world conditions and lead to actionable decisions. I take end-to-end ownership, challenge flawed assumptions when needed, and communicate clearly with both technical and senior stakeholders.
Italienisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Französisch
Konversationssicher
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- On RunningData ScientistDezember 2024 - Heute (1 Jahr und 6 Monate)Zürich, Switzerland
- Driving business value via AI and advanced analytics, supporting strategic decision-making across the organization.
- Designed and executed incrementality and Geo-experiment studies that directly influence allocation of $1M+ annual media budget, demonstrating measurable ROI to senior stakeholders.
- Develop causal impact models to quantify campaign effectiveness and global event impact on sales, translating complex technical insights into actionable business recommendations for leadership.
- Built and deployed customer-level predictive models (propensity, channel affinity), covering 10M+ users and enabling CRM teams to improve ROAS by ~5% and demonstrating clear business value creation.
- Collaborate cross-functionally with marketing, product, and executive teams to align data science initiatives with business objectives and drive customer satisfaction.
- UBSData ScientistNovember 2023 - November 2024 (1 Jahr)Zürich, Switzerland
- Delivered predictive modeling solutions for client retention that directly optimized marketing spend and decreased churn rate, working closely with business stakeholders to ensure adoption.
- Automated SQL/ETL pipelines reducing reporting time by ~30% and improving operational efficiency across teams.
- Built and presented Power BI dashboards to senior managers, driving adoption of analytics in marketing campaigns and enabling data-driven decision making at the executive level.
- AmazonBusiness Intelligence EngineerMärz 2022 - August 2022 (5 Monate)Luxembourg
- Created a QuickSight dashboard (similar to Tableau) adopted as the daily source of truth by the entire team, driving alignment and efficient decision-making across stakeholders.
- Tracked key business metrics (Revenues, Shipped Units, Delivery Experience) across 10+ countries, using SQL to query and manipulate ~1M rows across ~10 tables to deliver actionable insights.
- Created and automated weekly performance tracking reports for ~15 Account Managers, improving transparency, accountability, and goal achievement.
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Ausbildung und Abschlüsse
- MSc Data Science for BusinessEcole Polytechnique et HEC Paris2023MSc Data Science for Business X-HEC
- BSc Economics and Computer ScienceUniversità Bocconi2021BSc Economics, Managment and Computer Science (BEMACS)