Dr. Daniel Schneegaß

Consulting the compliance with regulatory and internal IT requirements in the market risk service with a number of software applications provided to our internal customers (banking and treasury). Application manager in the area of e.g. deal origination, payment operations, and anti-money laundering. Engaged in, among others, service, change, vendor, and risk management, cybersecurity, and audit support. Coordination of and contribution in projects improving our service e.g. in the area of cybersecurity.

Management of AI research and solution projects and work packages for power plant and factory diagnostics, time series prediction (e.g. air quality forecast), predictive maintenance, and optimization for manufacturing. Cordination of research collaboration with Tsinghua University, headquarter support from Germany, and intellectual property topics as well as quality manager in projects in the AI and data analytics research group. Technical trainer for the applying digitalization in our business training.

Application management for an e-discovery application for legal, compliance, and forensic investigations including the coordination of the software development and maintenance as well as overseeing the related IT services. Driving and development of different data mining initiatives in the area of project business and compliance.

Development of reports and data analysis support for global audit topics and internal customers, mainly in the area of procurement, sales, projects, and financial services. Participation in integrated and regulatory internal audits, primarily in financial services. Since beginning of 2014 application management for an e-discovery application for legal, compliance, and forensic investigations incl. the coordination of the software development and maintenance as well as overseeing the related IT services.

Data analysis and decision support in the Consumer Base Management. Development and maintenance of churn, propensity and segmentation models. Responsible for data mining for the postpaid churn prevention programmes and inbound campaigns. Setup and maintenance of an overall campaign measurement methodology. Collaboration on data warehouse projects.

Research association at the central research, Information & Communications, department Learning Systems. Collaboration on internal research projects in the context of reinforcement learning and on different operative projects on applying machine learning methods primarily for Siemens Power Generation, but also for Bosch Siemens Hausgeräte, Siemens Power Transmission and Distribution as well as Deutsche Bahn.

Software development in automation technology (client Philips B.V.) and automobile industry (client Audi AG). Development for the application of machine learning and data mining methods in automation technology.

Different activities as graduate assistant and freelancer: Proof reader and/or practical leader for analysis, stochastic and numerics at the Institute of Mathematics. Software developer in the context of the Data Mining Tutor Project at the Institute for Theoretical Computer Science. Proof reader for software technology at the Institute of Software Technology and Programming Languages.

Risk Management

Computer Science, Machine Learning

Bioinformatics/Biomathematics