Raf Troch

MLOps Framework development and management: Develop, maintain and manage the MLOps framework in collaboration with the data scientists and the IT department.

Data Acquisition and Transformation: Collect and acquire data from both existing and new sources and make it available for both D&A department members and final business users.

Data Democracy and Data Visualization: As a key member of the Data & Analytics Department, establish Data Democracy in the organization.

Data and Process Automation: Look at all the possibilities to automate (data related) workload throughout the Data & Analytics department and develop the needed automated process to support the business growth.

Gatekeeping of code versioning and coding standards: Define the coding standards and make sure they are used by all the people who are working on the D&A data platforms. Make sure that correct versioning and documentation system is in place to enable concurrent development and knowledge sharing.

Stakeholder management: Act as an in-between person between the final data user (Business or D&A department members) and the IT department.

The job I did during my internship was developping a full data quality flow for the input data of one of our biggest data products.