In a nutshell
My mindset is a combination of analytical thinking and creativity: my mathematical side is constantly seeking to identify the most logical path while my creativity allows me to approach challenges from multiple perspectives and find innovative solutions. I was very lucky to join international experiences that led me to improve my communication skills and I thrive in collaborative settings that require adaptability and a willingness to learn.
About me
- City: Brescia, Italy
- Age: 27
- Bachelor's Degree: Mathematics
- Master's Degree: Data Science
- Email Address: olivari.beatrice6@gmail.com
Technologies
PROGRAMMING: Python | R | JavaScript | HTML | CSS
DATA ANALYSIS: PostgreSQL | PowerBI | Nifi | QGis | (Geo)Pandas | Tableau | Scikit-learn | Excel
OTHER TOOLS: Data Catalog | GeoServer
Resume
Education
Master's Double Degree in Data Science
2019 - 2021
Universidad Politecnica de Madrid, Spain & Università di Trento, Italy
- Main subjects: Statistics, Data Viz, Machine Learning, Deep Learning, Big Data
- Main coding languages: R, Python
Bachelor of Science in Mathematics
2016 - 2019
Università Cattolica del Sacro Cuore, Italy
- Main subjects: Algebra, Geometry, Numerical analysis, Physics, IT.
- Main coding languages: R, Python, Java, C
Minor in Innvoation & Enterpreneurship
2019 - 2021
EIT Digital
- Topics: technology-based entrepreneurship, marketing and markets, project management, products and process development and human resource development
- 4 month supervised business analysis for the start-up EZY-CRD-GO
Professional Experience
Data Analyst and Data Engineer
September 2021 - Present
DedaNext
- Data analysis:
- Creating dashboard and interactive maps with HTML and JavaScript
- Performing BI analysis for my team using PowerBI.
- Data Engineer:
- Building of ETL processes with Apache Nifi
- Integrating data into databases with PostgreSQL
- Soft skills:
- Presenting demos of the projects to clients, partners and conferences
- Writing EU calls for projects
Internship on Data Analysis for Urban Mobility
Spring 2021
DedaNext
During my internship I developed two solutions for the city of Ferrara (Italy):
- Prediction of the number of buses passengers: I developed an algorithm based on statistical and machine learning methods that exploits buses historical data to estimate the number of passangers on a specific time and bus line
- 15-min City Proximity Index: I developed an algorithm to measure the proximity of services in different areas of a territory. The interactive map is available here
