I am an atmopheric scientist turned Data Analyst.
Some time ago, I graduated in Atmospheric Sciences and went on to get a Ph.D. in Civil Engineering, focusing on Hydrology and Remote Sensing.
After that, I spent three years as a researcher in Sweden and the Netherlands, working with radar technology and meterological data.
That’s how I discovered my passion for solving complex problems with data!
At the end of 2024, I joined the EPICODE Data Analytics bootcamp to deepend my knowledge of databases, Business Itelligence (BI) tools, and data storytelling.
I’m passionate about data, driven by curiosity, and energized by environments that value innovation and support my growth.
Core skills:
Excel, SQL, Looker Studio, Power BI, MATLAB
Python: Pandas, Numpy, Matplotlib, Pyplot, Seaborn, Scipy, BeautifulSoup
Agile framework
TikTok Service Netherlands, Amsterdam, the Netherlands
Extracted and analyzed Key Performance Indicators (KPIs) data to enhance team efficiency.
Collaborated with policy teams to refine moderation strategies, ensuring compliance with community guidelines.
Provided actionable insights to adjust team workflows, improving moderation speed and accuracy.
University of Amsterdam, Institute for Biodiversity and Ecosystem Dynamics (IBED), Amsterdam, the Netherlands
Analyzed radar and meteorological data to study bird movement patterns across the Netherlands.
Installed the BirdScan MR1 radar at ARTIS Zoo, collaborating with international teams to ensure high-quality data flow across countries for biodiversity research.
Developed Python algorithms to monitor bird and insect movement, contributing to multiple projects and transforming complex data into actionable insights for research and operational use.
Swedish Meteorological and Hydrological Institute (SMHI), Nörrkoping, Sweden
Coordinated radar operations for the RPG-FMCW-94 cloud radar at Norunda station, facilitating data collection and transfer.
Developed Python scripts for quality control of the national radar network, enhancing system reliability.
Collaborated with international scientists and participated in documentation efforts for data accessibility.
George Mason University, Volgenau School of Engineering, Fairfax, VA, USA
Developed a novel classifi cation algorithm in MATLAB for identifying high-intensity precipitation by analyzing radar data and satellite retrievals.
Produced scientifi c papers and presented results at international conferences around the world.
Collaborated at joint projects with accomplished scientists and graduate students from various nations.
Modules: Excel, SQL, Python, Google Looker, Power BI
09/2014 - 06/2018George Mason University, Fairfax, VA, USA
09/2011 - 012/2013University of Bologna, Bologna, Italy