Über mich
Skills
Portfolio
Training and Deploying of NLP Classification Model for Booking Emails on AWS, Handling ~3,000 Emails per Day
AI Team Strategy Assessment and Guidance on how to Scale-Up AI Operations via In-House AI Platform
Protein Atlas Kaggle Challenge
Projekte
AI Team Strategy Assessment and Guidance on how to Scale-Up AI Operations via In-House AI Platform
Hapag-Lloyd · Transport & Logistik
Role: Senior Data Scientist and Project Manager
Technologies used: AWS Cloud Services, MS Office, Miro
- Collection of user stories and IoT use cases from various customer departments
- Collecting capabilities and technical requirements for IoT platform as evaluation grid
- Interviews with stakeholders and dev teams to identify the biggest challenges of current and planned IoT projects
- Evaluation of make (on-prem) vs buy (full vendor solution) vs make&buy (cloud platform as a service)
- Technology stack discussion and tooling recommendations
- Conceptual creation of AWS architecture diagrams in collaboration with Cloud Expert- Prioritization and creation of development roadmap
- Presentation to stakeholders and management
Vendor Evaluation and Cloud Architecture Design for Scalable IoT Data Platform to Track 2 Mio. Shipping Containers
Hapag-Lloyd · Transport & Logistik
Role: Senior Data Scientist and Project Manager
Technologies used: AWS Cloud Services, MS Office, Miro
- Collection of user stories and IoT use cases from various customer departments
- Collecting capabilities and technical requirements for IoT platform as evaluation grid
- Interviews with HL stakeholders and dev teams to identify the biggest challenges of current and planned IoT projects
- Evaluation of make (on-prem) vs buy (full vendor solution) vs make&buy (cloud platform as a service)
- Technology stack discussion and tooling recommendations
- Conceptual creation of AWS architecture diagrams in collaboration with Cloud Expert
- Prioritization and creation of development roadmap
- Presentation to stakeholders and management
Proof of Concept for Detection of Damages on Train Wheels via Pressure Sensors on the Track to Enable Predictive Maintenance
DB · Transport & Logistik
Role: Senior Data Scientist
Technologies used: AWS Cloud Services, Python, Pandas, Scikit-learn, PyTorch, VS-Code, Git
- Interviews with the customer's experts and engineers
- Data preparation and merging of time series data from measurement systems and maintenance data from SAP
- Descriptive analysis and cleaning of data
- Feature engineering and development of a baseline model (random forest)
- Successful training of an autoencoder model to reduce dimensional complexity by 64%
- Development of a "Rolling-RANSAC" model to predict risk of wheel damage
- Documentation
Berufserfahrungen
Senior Data Scientist, ML Engineer, CEO and Founder · Vollzeit
q·ops · Internet und Informationstechnologie
- Writing business plan, user stories and collecting AI use cases from various customers
- Gathering capabilities and technical requirements for AI platform as evaluation grid
- Designing and prototyping various cloud architectures for model serving and deployment
- Implementation of scalable and serverless infrastructure as code
- Creation of repository template with custom Python package and automations
- Implementation of end-to-end MLOps stack including CI/CD pipelines for models and code, staging environments etc.
- Recording course to teach and onboard users who are new to AWS and MLOps
Technologies used: Python, AWS Cloud Services, Just, GitHub, DVC, Metaflow, Webflow etc.
Senior Data Scientist · Vollzeit
Ginkgo Analytics · Beratung und Consulting
- Led stakeholder interviews, vendor evaluation and cloud architecture design for scalable IoT data platform to track over 2 Mio. shipping containers at Hapag-Lloyd
- Assessment of AI team strategy and tech stack, providing actionable plan on how to accelerate and scale-up AI operations by improving in-house AI platform
- In depth data analysis and implementation of ML model prototype for detecting damages on train wheels via pressure sensors on the track to facilitate predictive maintenance
- Led and participated as Data Scientist in the planning and implementation of an AI Platform on AWS to streamline ML deployments and operation for large networking provider
- Build Dash prototype for self-learning NLP web app for information extraction from contracts for large networking provider
- Planning the design and implementation of a data-driven and AI-assisted drug discovery application for chemists in large pharma company
Data Scientist · Vollzeit
Ginkgo Analytics · Beratung und Consulting
- Evaluating the potential of reverse engineering training data by performing different attacks on deployed drug design models, to protect the integrity of pharmacological compounds
- Prototyping of 10 and deployment of 2 NLP models in cloud environments, automating high-volume email handling tasks for Hapag-Lloyd