Price Optimization for Motor Insurance
(Insurance, >10.000 employees)
Keywords
DevOps
Forecasting
Application Programming Interfaces (APIs)
Amazon Web Services
Data Analysis
Architecture
Automation
Business Process Automation
Cloud Engineering
Cloud Foundry
Skills
I worked on several Data Projects focusing on delivering business value from data. I am a Data Generalist with Data Science, Data Engineering, Machine Learning Engineering, DevOps, and Cloud Development skills.
E.g., Insurance Pricing, Image-based Claim Severity Prediction, Time Series Forecasting, and Data Quality Improvement.
This included Infrastructure as Code (AWS), CI/CD, DevOps, MLOps, Modeling, Data Preparation, Evaluation, Automation, Communication with Stakeholders (Cyber Security, Data Protection, Clients, etc.), Presentation of Results, Architecture, Documentation, Conceptual Work and Project Management.
E.g., Insurance Pricing, Image-based Claim Severity Prediction, Time Series Forecasting, and Data Quality Improvement.
This included Infrastructure as Code (AWS), CI/CD, DevOps, MLOps, Modeling, Data Preparation, Evaluation, Automation, Communication with Stakeholders (Cyber Security, Data Protection, Clients, etc.), Presentation of Results, Architecture, Documentation, Conceptual Work and Project Management.
Project history
02/2021
-
12/2022
Role: Data Scientist, Data Engineer, ML Engineer, Cloud Developer, IT-System-Owner
Application of Machine Learning in Motor Insurance pricing
Activities:
- Whole Machine Learning Lifecycle from concept to operations
- Integration into the GitOps standard of the Cloud Platform for automation of test execution, deployment of the ETL pipeline, and docker container creation
- Creation of an ETL-Pipeline with AWS-Batch und AWS-Glue
- Discussions with, e.g., cyber security and internal audit experts for compliance with regulatory requirements and documentation
- Cooperation with actuaries
05/2018
-
12/2022
Deduplication of Customer Data
(Insurance, >10.000 employees)
Role: Project manager, Data Scientist, Data Engineer, ML Engineer, Cloud Developer, IT-System-Owner
Application of machine learning for customer data deduplication
Activities:
- Project management
- Whole Machine Learning Lifecycle from conceptual design to operations
- Integration into the GitOps standard of the Cloud Platform for automation of test execution, docker container creation, and deployments
- Discussions with, e.g., cyber security and data protection experts for compliance with regulatory requirements and documentation
- Conceptual design and implementation of the interface to the CRM system
Application of machine learning for customer data deduplication
Activities:
- Project management
- Whole Machine Learning Lifecycle from conceptual design to operations
- Integration into the GitOps standard of the Cloud Platform for automation of test execution, docker container creation, and deployments
- Discussions with, e.g., cyber security and data protection experts for compliance with regulatory requirements and documentation
- Conceptual design and implementation of the interface to the CRM system
06/2019
-
06/2022
Contribution to the AWS Cloud Data and Data Science Platform
(Insurance, >10.000 employees)
Role: Data Science Expert, Cloud Developer, Tester
Participation in workshops and deployment of the first application in the Data Science Platform of the corporation.
Activities:
- Participation in workshops
- Contribution to the design of the Data Science Development Environment
- Debugging, being the first user of the platform
Participation in workshops and deployment of the first application in the Data Science Platform of the corporation.
Activities:
- Participation in workshops
- Contribution to the design of the Data Science Development Environment
- Debugging, being the first user of the platform
01/2021
-
03/2021
Data Science Trainer
(Insurance, >10.000 employees)
Data Science training for executive and specialized staff. The Training is available in the learning portal of the corporation.
04/2020
-
02/2021
Prediction of Bonus/Malus Scores in Motor Insurance for Process Simplification
(Insurance, >10.000 employees)
Role: Data Scientist, Data Engineer, ML Engineer, Cloud Developer, IT-System-Owner
Application of Machine Learning to predict Bonus/Malus Scores in Motor Insurance
Activities:
- Whole Machine Learning Lifecycle from conceptual design to deployment
- Discussions with, e.g., cyber security and data protection experts for compliance with regulatory requirements and documentation
- Discussions with actuaries
Application of Machine Learning to predict Bonus/Malus Scores in Motor Insurance
Activities:
- Whole Machine Learning Lifecycle from conceptual design to deployment
- Discussions with, e.g., cyber security and data protection experts for compliance with regulatory requirements and documentation
- Discussions with actuaries
05/2020
-
08/2020
Forecast of Cashflow for Medium-Term Planning
(Insurance, >10.000 employees)
Role: Project manager, Data Scientist
Evaluation of Machine Learning for improvements in medium-term planning
Activities:
- Meetings with the stakeholders
- Conceptual design
- Supervision of a working student
Evaluation of Machine Learning for improvements in medium-term planning
Activities:
- Meetings with the stakeholders
- Conceptual design
- Supervision of a working student
08/2018
-
02/2020
Image-based Prediction of Claim Amounts in Motor Insurance
(Insurance, >10.000 employees)
Role: Technical Project manager, Data Scientist, Data Engineer, Cloud Administrator
Image and video-based prediction of claim amounts for automation in claims management
Activities:
- Project management
- Interim reports to the management
- Preparation of documents for our cooperation partners
- Discussion with our cooperation partner
- Whole Machine Learning Lifecycle from conceptual design to evaluation
- Conceptual design and implementation of a serverless data preparation pipeline for processing videos generated by the application provided by our cooperation partner for training
- Management of the AWS account provided for this project
Image and video-based prediction of claim amounts for automation in claims management
Activities:
- Project management
- Interim reports to the management
- Preparation of documents for our cooperation partners
- Discussion with our cooperation partner
- Whole Machine Learning Lifecycle from conceptual design to evaluation
- Conceptual design and implementation of a serverless data preparation pipeline for processing videos generated by the application provided by our cooperation partner for training
- Management of the AWS account provided for this project
Certifications
Local Availability
Open to travel worldwide
