Descripción

🎯 Freelance Data Scientist – Python, SQL, Power BI, Tableau, Machine Learning

I help companies and organizations turn complex data into clear insights through statistical analysis, predictive modeling and interactive dashboards.

Specialized in data science, analytics and reporting automation, I work on machine learning models, business intelligence solutions, forecasting and multi-source data analysis to support data-driven decision making.

🚀 Expertise:

Data analysis & automation (Python, SQL, R,)

Machine learning & predictive analytics

BI dashboards & reporting (Power BI, Tableau)

Data visualization & storytelling

Text analytics, geospatial analytics & statistical modeling

🧠 Experience across healthcare, research, and business projects, collaborating with international teams on large-scale datasets, predictive analytics, and decision-support systems.

🎓 Certifications & Education: AWS Certified Cloud Practitioner (CLF-C02), MSc in Statistical Sciences, BSc in Economics

Idiomas

Italiano
Bilingüe o nativo
Inglés
Competencia profesional completa
Español
Competencia profesional completa

Preferencias de lugar de trabajo

Acepta trabajo presencial

Milan (hasta 50 km), Bologna (hasta 50 km)

ESPEN
Freelance Data Scientist
enero de 2026 - Hoy (5 meses)
• Lead analyst for the ESPEN Chronic Intestinal Failure Action Database, working on data analysis and statistical modelling of large-scale clinical datasets
• Focus on predictive modelling, model validation and interpretation of results
• Collaboration with international and interdisciplinary teams, translating analytical findings into actionable insights
Department of Economic and Business Sciences, University of Padua
Data Scientist
marzo de 2025 - diciembre de 2025 (9 meses)
Conducted text analytics on corporate ESG digital communication, working with data collected via web scraping
Department of Economic Sciences, University of Bergamo
Data Scientist
febrero de 2025 - octubre de 2025 (8 meses)
• Integrated and analysed spatial and psychological data using geospatial libraries
• Analysed survey responses from online questionnaires
• Developed reports and dashboards for dissemination of research findings