Sven Serr

Implementation of an analytics solution for a world-wide customer feedback program and accountable for the overall analysis of global customer feedback data. Designing and executing a comprehensive strategy to analyze customer feedback data, ensuring the delivery of actionable insights and recommendations to drive business growth and customer satisfaction

Enterprise-wide implementation of a knowledge management system as a central access point for data and insights in order to support data driven decision making at BMW Group. - Product Owner for the search engine application. - Identify user needs and management of requirement-oriented implementation. - Integration within the business processes. - Management of service providers and NLP Developers

Beeing part of the corporate strategy analytics team at BMW Group: - Analyzing data and visualize results to support strategic decisions. - Generating new insights by merging different data sources (customer data, vehicle data, market research data) - Preparation of market research data assets to maximize utilization and accessibility throughout the organization.

As a customer data analyst at BMW Group I was responsible for creating better customer understanding and support data driven decision making by providing meaningful data analyses using Python, SPSS Modeler, Tableau, etc.: - Ad hoc analysis & statistical models for customer lifetimevalue, segmentation and customer retention. - Develop existing and implement new reporting tools. - Identify new strategic opportunities and recommend actions supporting the customer strategy.

Durchführung einer nordamerikaweiten Emailkampagne, Implementierung Newsletter, Monitoring und Reporting der Marketingaktivitäten

Suchmaschinenoptimierung (SEO), Online Marketing, Konzeption des psi24.com Newsletters, Kalkulation von Verkaufspreisen, Erstellung und Veröffentlichung von Angeboten.

Betreuung von Kindern und Jugendlichen, Hausmeistertätigkeiten

Tätigkeiten in den Bereichen Marketing, Vertrieb, E-Commerce, Controlling und Rechnungswesen.

In this executive program I became exposed to the fundamental technical capabilities of machine learning and developed a step-by-step strategic decision-making process to evaluate various applications of machine learning in business. I demonstrated my understanding of business impact and technical feasibility of AI-based technologies along the way through completing exercises related to a real-world business scenario.

This Data Analyst Nanodegree programm consists of 4 courses, where I learned to organize data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. Therefore I developed proficiency in Python and its data analysis libraries.

Marketing, Wirtschaftsinformatik

Handel