Summary
Davide Massidda is a Data Scientist with 13 years of experience who blends a rigorous background in cognitive neurosciences and psychometrics with hands-on machine learning and deep learning engineering. He designs end-to-end, statistically grounded solutions—APIs, R Shiny dashboards, and deployment pipelines—for healthcare, industry and human-centered applications like psychometrics and HR analytics. His research roots in experimental psychology inform a measurable, hypothesis-driven approach to anomaly detection, design of experiments and NLP systems that extract actionable insight from text. At Kode he builds production-ready AI services while still teaching and consulting on advanced statistical methods, reflecting a rare mix of product delivery and academic depth. He maintains an active public footprint (GitHub, Medium, Kaggle) and a recent master’s in deep learning, signaling continual investment in applied AI. Less obvious: his work often translates subtle cognitive theories into practical measurement instruments and automated analytics that improve decision-making across domains.
13 years of coding experience
5 years of employment as a software developer
First level italian degree (Laurea triennale), Cognitive psychology and psychobiology, First level italian degree (Laurea triennale), Cognitive psychology and psychobiology at Università degli Studi di Padova
Master's degree, Deep learning, Master's degree, Deep learning at Experis Academy
First level Italian degree (Laurea triennale) - Course interrupted, Sciences and psychological techniques of learning and psychosocial health, First level Italian degree (Laurea triennale) - Course interrupted, Sciences and psychological techniques of learning and psychosocial health at Università degli Studi di Cagliari
High school diploma, High school diploma at Liceo Scientifico Pitagora, Selargius