Summary
Jože Bučar is a Senior Business Process Analyst in Ljubljana with 10 years’ experience at the intersection of data science, process optimization and geospatial analytics. Holding a PhD in sentiment-based web text classification and an M.Sc. in geodesy, he blends strong statistical and machine learning expertise with domain experience in mass real property appraisal and 3D GIS. At GEN‑I he progressed from Senior Data Scientist to Senior Business Process Analyst, delivering automated testing, AI-driven modelling and data-driven process improvements. His background includes academic research, internships at RapidMiner and The University of Manchester, and teaching quantitative methods, reflecting a rare mix of research rigor and applied product delivery. Outside work he’s a dedicated runner and sports trainer, suggesting the same discipline and coaching mindset he brings to teams. Notably, his career combines computational linguistics and sentiment analysis with practical large-scale valuation and business process transformation.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Sentiment Based Classification of the Web Texts, Doctor of Philosophy - PhD, Sentiment Based Classification of the Web Texts at Faculty of Information Studies in Novo mesto
Bachelor’s Degree, Geodesy, Courses grade average: 8.33/10, Final graduation grade: 9/10, Bachelor’s Degree, Geodesy, Courses grade average: 8.33/10, Final graduation grade: 9/10 at University of Ljubljana, Faculty of Civil and Geodetic Engineering
English, German, Croatian, Serbian