Mercedes Me is an app that connects your phone to several features in the car. One such feature is called Digital Driver’s Log or ‘Fahrtenbuch’. This product collects trip data when a customer drives their car. I am responsible for implementing analytical KPIs for this product using PySpark on Databricks
Mercedes-Pro is a B2B fleet management tool. This product sends real-time data from the vehicles to the application. Fleet customers can use it to organize and manage their vehicles day to day. We use state-of-the-art Azure infrastructure including Event Hubs, streaming jobs, virtual networks, Service Fabric as a container service, Azure DevOps for sprints, SQL Databases, Data Lake Storage and Azure Web Apps
Employed in the 360 Customer View and Data Lake team. From January 2019 I took on the role of co-account owner and lead architect for the Microsoft Azure platform and its operations. My main contribution was implementing end-to-end data science architecture for development, testing and deployment of machine learning models.
Internal consultant to the business teams of Risk Analytics, Customer 360 and Rolling Forecast. The use cases came from EMEA and Asia Pacific markets. My role was to help business teams understand the potential of their data and also build hands-on end-to-end proofs of concept to demonstrate the value of machine learning in their daily work.
I wrote my master’s thesis on “Machine Learning in Data Quality,” inspired by my previous internship in the same area. I used R programming and the KNIME tool for the technical work. The thesis was very successful and led to a full-time IT consulting position at Daimler Financial Services.
Led a team of three to deliver an end-to-end BI solution using QlikView and AWS for a large insurance provider in the USA.
To either lead a company or start one myself and be number 1 in the world in sports-tech for individuals
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