Summary
Nicola Toscan is a data scientist and web developer currently pursuing a joint Master's in Data Science at KTH and TU Berlin, bringing eight years of hands-on experience across analytics, telemetry and web apps. He has applied machine learning to real-world problems—from emotion analysis on Wikipedia talk pages during a research internship to building telemetry software in C for a Formula SAE electric racing car. Nicola pairs strong academic results (Bachelor's in Computer Science with honors) with practical industry exposure at Deloitte, StudyBuddy and startups, working with Python, TypeScript, Angular, .NET and cloud-auth integration. Comfortable moving between research and production, he blends data-driven modeling with full-stack implementation and a knack for turning complex datasets into actionable tools.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, 110 and honour, Bachelor's degree, Computer Science, 110 and honour at Università di Trento
Master's degree, Data Science, Master's degree, Data Science at KTH Royal Institute of Technology
EiT Summer School, Solutions for Healthier Digital Cities, EiT Summer School, Solutions for Healthier Digital Cities at Université de Rennes 1
Master's degree, Data Science, Master's degree, Data Science at Technische Universit��t Berlin
Upper secondary education diploma (Technical school), Informatics and Telecomunications, 100/100, Upper secondary education diploma (Technical school), Informatics and Telecomunications, 100/100 at ITT Eugenio Barsanti
English, Italian