Greg. F. Nagy

ML, LLM, Project management, ETL. Developed a LLM/LVM solution to replace existing models for -brand detection in offer images (with a boost from 20% to 60% in recall) and -general product categorization (recall from 60% to 80%), keeping 80%+ precision. Deployed APIs/services collaborating with engineers for -product categorization models (classification with large number of categories), -offer popularity (predicting their future CTR), -revenue regression (classical regression, potential estimation).

At EU Business School, GBSB and BSBI. Lectures in Statistics, Calculus and Finance, thesis supervision, content development, staff recruitment, timetabling, leading the BBA.

Short term contract at Directorate General Statistics, Division of Statistical Information Services. Mainly Data Analytics Engineering tasks, ETL pipelines, automating incoming data streams with FAME, SQL and field-specific external sources.

Excellent Cum Laude, FI Doctoral Grant by the Generalitat de Catalunya (Spain).