Senior Data Scientist04.2023 – PresentMAN Energy Solutions, Oberhausen

• Development, deployment, and maintenance of scalable ML models and analytics solutions for turbomachinery (predictive maintenance)
• Successful transition of numerous models into productive environments
• Transformation of time series sensor data into business-relevant insights through machine learning and rule-based models
• Optimization of the analytics development environment (tools and services) to support new releases
• Collaboration with management and departments to support strategic decisions through data-driven insights
• Conducting training and workshops to promote a data-driven culture in the after-sales department (PrimeServ)

Referent Data Science & AI01.2021 – 03.2023AOK Rheinland/Hamburg, Düsseldorf

• Implementation of advanced analytics solutions in healthcare
• Preparation of large, complex datasets (structured & unstructured)
• Development of innovative ML models using modern machine and deep learning techniques
• Implementation of a process mining solution for analyzing and optimizing business processes
• Consultation with specialist departments on data-driven approaches and AI projects

Freelance Trainer & Data Science Consultant06.2020 – 12.2022Upwork

• Consultation with clients on advanced analytics topics
• Development of machine learning and deep learning algorithms (including NLP solutions)
• Creation of KPI dashboards using Microsoft Power BI
• Training of clients in R and Python (programming and data analysis)
• Freelance implementation of parallel projects to permanent positions

Senior Consultant Data Science03.2017 – 12.2020Ernst & Young GmbH, Düsseldorf

• Consultation with clients on advanced analytics and AI topics
• Conducting exploratory and predictive data analyses (structured & unstructured data)
• Development of innovative predictive and descriptive analytics solutions using modern methods
• Implementation of process mining for process optimization at the client
• Conception and implementation of a BI tool for process mining KPIs

Associate IT Consultant09.2016 – 02.2017MSG Systems AG, Essen

• Development of analytical methods for data-driven problem solving
• Creation of statistical analyses and derivation of business-relevant key figures
• Data acquisition and preparation using SAS, SQL, and Excel

Intern: Predictive Analytics (Consumer Experience)03.2016 – 07.2016Deutsche Post Consult GmbH, Bonn

• Development and validation of statistical analysis methods
• Ad-hoc evaluations and translation of metrics into relevant key figures

Intern Business Intelligence (Database Management)09.2015 – 02.2016Deutsche Post AG, Bonn

• Creation of reports and statistics using SAS and Excel
• Conducting ad-hoc analyses with SAS

Research assistant (Chair of Statistics for Engineers)02.2015 – 12.2015Technische Universität Dortmund, Dortmund

• Research on classification using depth-depth plots with body sound data
• Statistical analysis and simulation using R and Matlab
• Comparison of classical classifiers (RandomForest, discriminant analysis, etc.)
• Support for the chair (exams, exercises, supervision)

Intern: Data Analysis10.2014 – 12.2014Innofact AG, Düsseldorf

• Preparation of datasets
• Statistical evaluations using R and SPSS
• Presentation of multivariate analyses

Tutor Analysis I & II04.2013 – 02.2014TU Dortmund, Faculty of Statistics

• Conducting tutorial sessions
• Grading and supervising exams
• Answering student questions about exercises

Master Data Science10.2012 – 02.2016Dortmund University of Technology, Dortmund

• Focus: Statistical learning methods, stochastic processes
• Award for best degree achieved by international students (2016)

Master 1 Mathematics10.2009 – 07.2010University of Yaoundé I, Cameroon

Specialization in applied statistics and mathematical modeling

Bachelor's Degree in Mathematics10.2006 – 07.2009Université de Yaoundé I, Cameroon

Fundamentals of probability theory and mathematical statistics

Microsoft Certified: Fabric Analytics Engineer AssociateJuly 2025

• Design and build semantic models using Microsoft Fabric
• Develop data transformation pipelines using Data Factory and Spark
• Optimize data models for performance, governance, and enterprise analytics

Generative AI for Data ScientistsJune 2025

• Train and fine-tune large language models for applied use cases
• Implement prompt engineering and evaluation strategies
• Integrate generative AI models into data science workflows

Microsoft Certified: Power BI Data Analyst AssociateFebruary 2025

• Create and optimize data models in Power BI
• Build interactive dashboards and visual analytics
• Implement DAX for calculations and business logic

SAS Viya Programming BadgeJune 2022

• Write SAS programs for data manipulation and analytics in Viya
• Perform statistical modeling using CAS actions
• Manage data pipelines and distributed computing workflows

Professional Scrum Master CertifiedJuly 2020

• Facilitate Scrum ceremonies and remove team impediments
• Apply Scrum principles to improve team velocity and delivery
• Coach teams and stakeholders on Agile frameworks

EY Analytics Data Science (Gold Badge)December 2019

• Develop machine learning models using Python and SQL
• Apply statistical methods for business and operational analytics
• Communicate insights through dashboards and executive summaries

Microsoft Certified Professional in Artificial IntelligenceMay 2019

• Build AI solutions using Azure Cognitive Services
• Implement machine learning workflows and model deployment
• Apply AI ethics, fairness, and responsible AI principles