Tobia Albergoni is a Business & Data Analyst with a decade of experience bridging applied machine learning and production data solutions across Swiss public and private sectors. Trained at EPFL with top marks in Computer Science, he moved from building ML models and content-based media analysis to operationalizing data workflows as a Data Scientist and now at Swiss Post. His background includes automating archival imports with bespoke Python tooling for state archives and developing RESTful services during internships, showing fluency from research prototypes to production systems. Comfortable in cross-disciplinary settings, he blends strong technical rigor with practical process improvements that unlock value from messy, unstructured data.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Swiss scale: 5.68/6 - Cumulative GPA: 3.78, Master of Science - MS, Computer Science, Swiss scale: 5.68/6 - Cumulative GPA: 3.78 at EPFL (École polytechnique fédérale de Lausanne)
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