Description

I'm a data scientist with 3 years of experience working with finance and commercial teams, mostly in FMCG and e-commerce.

Most of my projects involve building forecasting models, cleaning up messy data pipelines, or creating dashboards that actually get used beyond the first week. I've done this for Campari Group's global finance team and for Stellantis, so I'm used to working with large organisations where the data is complex and the stakeholders are demanding.

Typically I work on things like sales or demand forecasting, dashboards for finance or ops teams, automating reports that someone is still doing manually in Excel, and customer segmentation or churn analysis.

I work remotely, I'm based in Italy (CET), and I'm comfortable working directly with non-technical stakeholders. If you're not sure whether your project fits, just message me.

Languages

Italian
Native or bilingual
Spanish
Conversational
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Everli
Data Scientist & Analytics Lead
October 2024 - Today (1 year and 8 months)
Milan, Metropolitan City of Milan, Italy
• Analyse large-scale datasets from multiple sources to drive product and operational decisions.
• Build and deploy ML models (classification, regression, clustering) for customer segmentation, predictive analytics, and scenario forecasting.
• Design and maintain Power BI and Python dashboards to communicate KPIs and trends to senior stakeholders.
• Automate ETL pipelines and data quality processes, significantly reducing manual effort.
• Work cross-functionally with Product, Engineering, and Finance to turn business needs into scalable analytical solutions.
• Identify trends, anomalies, and growth opportunities to support strategic decisions.
Python Microsoft Power BI Machine learning SQL
Tata Consultancy Services
Business Intelligence Analyst
March 2023 - October 2024 (1 year and 7 months)
Milan, Metropolitan City of Milan, Italy
• • Partnered with the Finance and Commercial departments of Campari Group — a leading global FMCG and beverage company — to enhance strategic decision-making through advanced predictive analytics.
• • Designed and implemented sales forecasting models in Python (Scikit-learn, XGBoost, Statsmodels) and R, delivering accurate revenue projections across key product lines and geographies.
• • Built econometric and time series models (ARIMA, SARIMA, Prophet) to analyse market dynamics and support financial planning and budgeting cycles.
• • Implemented ML models to predict market behaviour and customer purchasing patterns, directly optimising marketing spend and product placement strategies.
• • Developed custom interactive BI applications using R Shiny, enabling real-time self-service analytics and business intelligence across the finance department.
• • Engaged in continuous learning in data science, with deepening expertise in econometric modelling, time series, and TensorFlow/Keras for deep learning applications.
• • Applied Agile methodology to manage concurrent workstreams and consistently deliver against ambitious client targets in a fast-paced consulting environment.