Andrea Ranzato
R Developer, Data Science Analyst & Entrepreneur
Turning Data Into Decisions
I discovered R development during my Data Analytics studies at Università Cattolica in Milan and refined my skills through collaboration with cynkra, a premier R consulting firm in Zürich.
I specialize in building production-grade R packages and maintainable solutions following tidyverse best practices, with expertise in data validation, database interfaces, and API development.
With my economics background, I bridge the gap between business requirements and technical implementation—translating real-world problems into efficient R-based systems that deliver measurable value.
Skills & Expertise
Development
Data Analysis
Business
R Ecosystem Expertise
Deep knowledge of the R ecosystem and its most powerful packages
tidyverse
Data manipulation & visualization
quarto
Dynamic reporting
testthat
Unit testing
plumber
REST APIs
DBI
Database interfaces
Professional Journey
Co-Founder & CAO
nutrivetpet
I partnered with Alice Chierichetti, a leading veterinarian specializing in pet nutrition, to develop a web application (www.nutrivetpet.com) that algorithmically calculates optimal food portions tailored to individual pets' needs. I lead the analytics and automation initiatives.
Independent R Developer & Data Analyst Consultant
Remote freelance consultant specializing in R development, data analysis and workflow automations.
R Developer & Data Analyst Consultant
cynkra GmbH
Remote freelance consultant specializing in R development for cynkra, a boutique consulting firm. I deliver data analysis and R development solutions to a diverse portfolio of clients, including Swiss public institutions, private sector companies, and Central Banks in emerging countries.
Associate - Data Science Analyst
Intellera Consulting (former PwC Public Sector)
Joined the Data Analytics vertical to maintain and optimize Python-based data engineering workflows that support HR statistical surveys for European Intergovernmental Organizations.
Data Analyst
Pic Servizi per L'Informatica
Supporting a public utility company in setting up a BI reporting infrastructure using Qlik Sense, enabling data-driven decision making across operations.
Intern Fraud Data Analyst
Yoox Net-A-Porter Group (YNAP)
Supported the fraud prevention team by contributing to automated monitoring systems for KPI tracking and performance analytics. Assisted with maintaining R-based data integration pipelines that consolidated chargeback data from multiple financial acquirers to help identify fraud patterns.
Education & Training
Master's Degree in Data Analytics for Business & Economics
Università Cattolica del Sacro Cuore
Acquired theoretical and computational skills (R, Python, SQL) to solve data analytics problems (regression, classification, inference). Courses attended: Statistical inference, Bayesian statistics, Business analytics and data mining, Data management and warehousing, Statistical learning, Computational statistics, Patents and property rights for big data, Dynamic economic analysis. Thesis title: "Yield Curve Modelling with Principal Component Analysis for Market risk assessment".
Bachelor's Degree in Economics
Università Cattolica del Sacro Cuore
Built a strong foundation in economic theory and quantitative methods. Focused on econometric analysis and statistical applications in economic research, which laid the groundwork for my transition into data analytics. Elective courses: Applied statistics, Econometrics, Mathematics for economics and finance, International economics, Monetary economics, Industrial organization.
Summer School: ME317 Statistical Methods in Risk Management
London School of Economics and Political Science (LSE)
Intensive summer program focused on advanced statistical methods for risk assessment and management. Covered modern techniques in risk modeling, extreme value theory, and quantitative risk management frameworks used in financial institutions.
Let's Build Together
Whether you need to transform your data infrastructure, build custom R solutions, or want to discuss your data challenges—I'm here to help.