Dániel Békési

- Accountable for leading Data & AI Services projects across diverse industries. - Liaising with Solution Architecture, Data Science, ML Engineering & PMO. - Responsible for enhancing "economies of repetition" in the project execution and delivery process.

- Creating a multi-cloud ROI-optimization platform from scratch. - Designing and executing the SaaSOps/FinOps product roadmap. - Accountable for maximizing the value delivered to the customers by the development team. - Managing and prioritizing the product backlog. - Building strategic relationships with external partners. - Driving talent acquisition & contributing to the hiring process.

- Driving the group-wide development of new banking solutions within the "Advanced Analytics & Artificial Intelligence"-Tribe. - Contributing to AI & ML use cases: -- Natural Language Processing (youtu.be/5aznAqpEjIA) -- Computer Vision -- Transactional scorecards - Creating data products using the AWS stack with a high customer focus. - Enhancing the data science capabilities across RBI and in its subsidiaries.

- Teaching Applied Microeconomics. - My aim is to bring real life economic aspects into the classroom. - The main focus is on customer behavior and market structures.

- Big Data @Core Telco EU Team member driving international cooperation in ML & analytics topics - Creating predictive data products using deep learning methods. - Market research applying unsupervised machine learning. - Contributing to data integration projects including Big Data & Oracle architectures. - Explorative research with the purpose of creating demand for new insights. - Designing interactive data visualizations & dashboards. - Co-Developing the Tableau ecosystem. - Core BI Team member

- Statistical analysis of churn and retention behavior. - Reporting of key indicators on the corporate level. - Cooperation with the international insights team.

- Advising the executive management by providing customer insights and predictive data products. - Forecasting key indicators by applying time series models. - Implementing data mining algorithms in cooperation with the IT department.

- Working on a scientific reserach project investigating customer behavior that has lead to my PhD. - By using state-of-the-art discrete choice models, the main objective was a better understanding of brand loyalty and price sensitivity in panel data. - International conference presentations.

TRANSFOP (Transparency of Food Pricing Research Project): - a €1 million EU-wide project funded by the European Commission. The overall aim of the project is to investigate the determinants of food prices across EU Member States.

- Assisting the head of institute in the Managerial Economics course.

Research on discrete choice methods modelling customer behavior - International conference presentations

Focus on Industrial Economics.