Dr. József Bruck

Topics around ML

Implementation of algorithms (predictive models, scores) Collaboration with Product Design team to develop new products. Ad-hoc analytics e.g. for presales.

Data analytics including data cleaning, model construction, data analysis, ML techniques, visualisation. Python (pandas, scikitlearn), R (tidyverse packages), pySpark

I joined the Future Internet Research Group at TU Budapest for 2 months to help starting a new research area in document classification.

One of two full time data scientists in a mixed group of developers. My colleague is based in the UK, as are most members of this virtual team. Within Enterprise Sales, my present projects aim at mining of new insights from the central CRM database, ideally combining it with publicly available data or machine learning. Clarifying the impact of technical issues on business processes involves communicating with colleagues across our organisation.

Developer associated with the Service Desk Team of the Electronic Data Interchange (EDI) service desk of T-Systems international.

Computational systems biology: Mathematical modelling with data analysis. https://edoc.hu-berlin.de/handle/18452/17366

theoretical physics, mathematical general relativity, classical field theory