Software Engineer 👩🏻💻 | Data Analyst 📈 | Data visualization 🎨
Education
B.S. Computer Engineer
Degree score: 86 | 110
Università degli studi di Perugia, PG
Aug 2014 – Dec 2018
M.S. Data Science
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Università degli studi di Perugia, PG
Aug 2019 – May 2022
Expertise area
Computer Engineer with a passion for web development, machine learning and data analysis. I like to transform complex information into clear, meaningful representations while maintaining application simple and intuitive. I prioritize clarity and usability, avoiding bloated code difficult to mantain.
Through my studies i built knowledge on system design to achieve the desired functionality, performance, and reliability. I apply design patterns and evaluate algorithmic complexity to deliver efficient solutions while continuously learning and refining my skills through research and technical documentation.
My approach is to develop robust code based on solid software design, emphasizing clean architecture, maintainability, and performance, qualities that really give value to the applications by following best practices to balance functionality with long-term sustainability.
Proficient in machine learning and data analysis from building a data foundation through collection/scraping and cleaning, to performing EDA (Exploratory Data Analysis) and building predictive models. Creating insightful, interactive data visualizations that reveal patterns, communicate insights, and let the data speak through compelling visuals. Some experience in deep learning for image analysis, CNNs including segmentation and pattern recognition.
Projects
December 2024 - February 2025
- A React dashboard with the use of Chackra UI.
- ExpressJS backend serving the crimes data to showcase
- To navigate the crimes of the City of Belém - Brazil in a modern site
January 2025
- SPA application written in React
- Interactive data visualization using chart.js
- Java Springboot backend
- Unit and integration test for backend and for frontend
May 2025
- Implementing image segmentation using U-Net implementation on a custom dataset
- Tools: Kaggle; Tensorflow; Labelbox;
May 2025
- A modern NextJS website for a judo club designed as a landing page for the club and to navigate about tecnhical resources about judo.
- Using MDX content management
💻 Technical Skills
Languages:
JavaScript ·TypeScript ·Java ·Python ·
Frontend Development:
React ·Next.js ·
Backend & APIs:
Express.js ·MongoDB ·PostgreSQL ·SQLite ·Swagger ·Postman
Data Science & Machine Learning:
Python ·TensorFlow.js ·Apache Spark
Data Visualization:
D3.js ·Chart.jsPlotly
DevOps & Tools:
Git ·GitHub ·Docker ·Vite ·QGIS
Languages
- Italian: Mothertongue
- English:
- Reading: Strong comprehension of written texts
- Speaking: Proficient in conversional comunication
- Listening: Full understanding of spoken language
- Portuguese:
- Reading: Moderate ability to understand written content
- Listening: Can follow dialogues with ease