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I am a master's student in Artificial Intelligence for Science and Technology with a solid bachelor’s background in computer science. I am passionate about machine learning, deep learning, and data analysis, and I have hands-on experience in NLP, computer vision, and generative models. I’m motivated by delivering tangible, scalable results and enjoy turning complex insights into practical solutions. Driven by results, I thrive in multidisciplinary teams and enjoy working with large datasets. My projects span healthcare and cognitive rehabilitation, where I’ve built AI-powered tools and web applications, and I’m eager to contribute to innovative, data-driven initiatives.…I am a master's student in Artificial Intelligence for Science and Technology with a solid bachelor’s background in computer science. I am passionate about machine learning, deep learning, and data analysis, and I have hands-on experience in NLP, computer vision, and generative models. I’m motivated by delivering tangible, scalable results and enjoy turning complex insights into practical solutions. Driven by results, I thrive in multidisciplinary teams and enjoy working with large datasets. My projects span healthcare and cognitive rehabilitation, where I’ve built AI-powered tools and web applications, and I’m eager to contribute to innovative, data-driven initiatives.

Davide Zangari

Data Scientist, AI Developer, Developer, +2

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I am a master's student in Artificial Intelligence for Science and Technology with a solid bachelor’s background in computer science. I am passionate about machine learning, deep learning, and data analysis, and I have hands-on experience in NLP, computer vision, and generative models. I’m motivated by delivering tangible, scalable results and enjoy turning complex insights into practical solutions. Driven by results, I thrive in multidisciplinary teams and enjoy working with large datasets. My projects span healthcare and cognitive rehabilitation, where I’ve built AI-powered tools and web applications, and I’m eager to contribute to innovative, data-driven initiatives.…I am a master's student in Artificial Intelligence for Science and Technology with a solid bachelor’s background in computer science. I am passionate about machine learning, deep learning, and data analysis, and I have hands-on experience in NLP, computer vision, and generative models. I’m motivated by delivering tangible, scalable results and enjoy turning complex insights into practical solutions. Driven by results, I thrive in multidisciplinary teams and enjoy working with large datasets. My projects span healthcare and cognitive rehabilitation, where I’ve built AI-powered tools and web applications, and I’m eager to contribute to innovative, data-driven initiatives.

Available to hire

I am a master’s student in Artificial Intelligence for Science and Technology with a solid bachelor’s background in computer science. I am passionate about machine learning, deep learning, and data analysis, and I have hands-on experience in NLP, computer vision, and generative models. I’m motivated by delivering tangible, scalable results and enjoy turning complex insights into practical solutions.
Driven by results, I thrive in multidisciplinary teams and enjoy working with large datasets. My projects span healthcare and cognitive rehabilitation, where I’ve built AI-powered tools and web applications, and I’m eager to contribute to innovative, data-driven initiatives.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Italian

Fluent

English

Fluent

Work Experience

AI Developer at Neurab

September 1, 2025 - Present

Led the development of a website with an integrated chatbot to assist neuroscientists and patients. Implemented web scraping of Google Scholar for relevant papers, exported Android tool data to CSV, and conducted rigorous testing of selected tools and applications using a structured methodology.

Researcher at Università degli Studi di Milano - Bicocca

June 1, 2022 - October 1, 2022

3D Biomedical image processing – CT Lung tumor segmentations (Exam project). Worked with Python and Google Colab; improved a DL segmentation model (U-Net) on a small dataset via data augmentation and dropout; applied class balancing (ADASYN), missing data imputation (MICE), and evaluated performance with Dice similarity.