Global Product Owner for CX Analytics in the Strategic Insights Department.Main Tasks include:- Business Lead for Data Science Team - being responsible from Concept to Implementation of ML / AA features in digital Experience Plattform for internal Users:Gathering Stakeholder requirements& needs, translate it into analytics features, oversee development, conduct user research & oversee UX/UI design, drive end to end implementation with tech teams- Building Analytics Roadmap & Backlog for CX Product- Quality assurance of data science & analysts output for product plattform- Product development with advanced analytics/ data science Insights- Enabling the CX Vision by building ML features & data driven Insights- Conducting Proof of Values with advanced analytics/ data science methods to drive CX vision & explore opportunities- Bridge & Translator between Stakeholders and Tech teams- Analytics consultant for affiliates / stakeholders to identify Use Cases & improve Data Literacy and enhance trust in ML features- Lead of cross-functional Community of Interest: Data Science & Advanced Analytics- Strategic Insight creation with customer centric focus- Leading cross-functional project teams for data projects- Analyzing competitive Insights

Working as a Data Analyst in a self-organized and agile Team for the region EMEA-LATAM. Main tasks are being a Product Owner and Developer for Minimal Viable Products and Coach for improving Data Literacy and general understanding of CX Analytics in the region.Tasks included:- analyzing customer feedback - creation Tableau Dashboards- creation data models - change management in affiliates- analytics consultancy- improving data literacy for stakeholders & users

Title: "Data Driven Customer Journey - Improving decision making by data driven insights in a customer experience project"Goal of this thesis was to combine methods from Design Thinking, Lean Startup and Agile Development to understand customer needs and pain points, find a solution and implement it.Focus of this thesis was:- Web scraping (Python)- Natural Language Processing (Python)- Data visualization with Tableau- Data Driven Decision Making success tracking

Working as a Data Scientist.The work consists of various small projects with extensive data exploration and rapid (machine learning) model building in different functions, like operations, supply chain and commercial. These projects included tools & techniques like:- Visualization of data with Python and Tableau- ETL processes with SQL - Data cleansing (Python)- Root cause analysis (Python)- Clustering (Python)- Prediction (Python)- Statistical analysis (Python)- Machine Learning (Python)- Natural Language Processing (Python)- Computer Vision & Image Recognition

For an international university project I was working in the course of study for Information Systems and Digital Media. I coordinated the meetings between international participants of different universities and helped to plan activities.The main task was to support the project platform and code different functionalities for the Web Page, which were needed to fulfill given requirements.

The thesis focused on the evaluation of SSBI- Tools (SAP Lumira/Qlik Sense/ Tableau) for the Business Intelligence Team in Sindelfingen. In addition to the research of literature, dashboards were created on each tool and tested with different Users with human-computer-interation methods

During an internship semester I worked in the logistics department of Daimler AG as an SAP project supporter. During this time the legacy system was changed to SAP ERP. The scope of my work included:- training of approx. 50 employees in SAP-Material Management (MM), SAP-Logistic Execution (LE) and Enterprise Warehouse Management (EWM)- first-level support during the rollout

For a 4 week long internship, i joined Pixel Labor, a small advertising agency. The main activity during that time was web development in HTML and CSS. Other tasks were designing websites, logos and advertising materials.