Daniel Becker

• Research assistant on the AFFIN project: Automated and digital forensics of publicly available data in the financial sector • Co-author on a paper submitted for ECIS 2024: “Threats to Financial Markets in the Age of AI - A Systematic Literature Review And Research Agenda”

• Developed advanced time series models using machine learning libraries (e.g., fbprophet, scikit-learn) for more accurate roaming cost forecasting • Improved predictions of a large forecasting model by incorporating the developed results • Automated and streamlined month-end closing and planning processes, saving hours or providing a valuable comparative opinion

• Implemented and optimized digital campaigns across diverse channels (Desktop, Mobile, DOOH, CTV) • Reported campaign results and derived actionable recommendations. • Conceived data-driven strategies and created customer-specific segments. • Training of interns, working students, and new employees

Kundenbetreuung im Rahmen der NPS-Abteilung

Kundenbetreuung im Rahmen der NPS-Abteilung

• Master's thesis on a multi-label classification of statements to information security processes and capabilities in maturity levels with NLP Student projects: • Used soft- and hard clustering to identify trip- and customer types on bikesharing • Predicted bike rental demand and bike availability with SVM and neural networks • Implemented CNNs for accurate image classification • Utilized DistilBERT for sentiment analysis on the IMDB movie ratings data set

• Bachelor thesis about building an interface between an MES and SAP S/4 HANA including ABAP programming • Development of C++ programs and Front/Backend Development (Angular, SQL) through various course projects; Solid knowledge in Business Administration, Information Systems, and IT