Edouard Fouché

As a Senior Key Expert at Siemens Healthineers, I globally serve as a strategic leader and subject matter authority in Data Science. I am responsible for planning and executing the digitization and AI transformation for Strategic Procurement, focusing on procurement excellence and data-driven decision-making support for supply chain management: - Spend classification and analysis - Costs containment - Risk mitigation - Strategic supplier sourcing - Contract negotiation - Quality insurance - Sustainability c

As a Senior Key Expert within Siemens, I globally serve as a strategic leader and subject matter authority in Data Science, which is one of the company core technologies of strategic importance. My role is defined by a deep, business-relevant expertise that directly contributes to shaping and executing the company’s digital transformation strategy.

Preparing my doctorate thesis in the field of Machine Learning under the supervision of Prof. Dr.-Ing. Klemens Böhm. Teaching graduate/undergraduate seminars. Supervision of students’ master thesis. Participation in teaching activities at the chair: Data Mining lab course and oral/written examinations in Big Data Analytics, Database Systems and Workflow Management Systems.

Creation and development of ibmdbpy, a Python interface for data manipulation and in-database algorithms in IBM dashDB and IBM DB2. Publication and talk at LWA15 in Trier. Writing my master thesis on the top of the project, in collaboration with KIT and HPI. The thesis focuses on mapping Feature Selection algorithms to high dimensional data sets. Talk at PyData Berlin 2016. Maintenance, improvement and integration of the work of fellow interns into the project.

Tutor in Customer Relationship Management (Winter term 15/16) at KIT for undergraduate students. Giving 1.5 hour presentation every two weeks. Preparation of slides and assignments. Teaching assistant in the Data Mining Lab (Summer term 16) at KIT for a group of 24 students in the participation to a data mining contest. Weekly Meetings with the students. Organized a field trip to IBM Lab.

Assisting Big Data Research Team in the field of climatology. Developing tools for extracting metadata from NetCDF files, using Python and MongoDB. Deploying Web Processing Services on Ubuntu. Administration of scientific websites with OpenText.

Development of internal software for Business Intelligence to help business decision-making process, based on indicators and dashboards. Design and development of UI, using Oracle Forms and PL/SQL language.

Online, 7% admission rate. Topics: Accounting, Market & Economies, Data & Decisions, Leading Organizations, Marketing & Pricing, Finance, Supply Chain & Operations, Strategy, Entrepreneurship.

Thesis: Estimating Dependency, Monitoring and Knowledge Discovery in High-Dimensional Data Streams

Informationssysteme, Data Mining, Kognitive Systeme

Informatik, Elektrotechnik