NumPy Experts in Hamburg

• Developing a professional appointment planner for organizations with specific, detailed requirements
• Evaluating various existing software solutions
• Creating a list of technical requirements
• Implementing these requirements
• Technologies under consideration: WebDAV, CalDAV, Rust, Baikal, OAuth, Keycloak

• Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
• Defined time-based and dependency-based jobs
• Deployed to managed Kubernetes clusters using Helm
• Integrated InfluxDB Cloud
• Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
• Developed dashboards and visualizations in Grafana
• Developed unit tests with mocking using pytest
• Set up a CI/CD pipeline in GitLab

Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud

• Developed and delivered IT/Tech courses, integrating data visualization and analytics tools.
• Enhanced student competencies in data processing and visualization through hands-on projects.

• Co-founded the German chapter of the International Women's Coffee Alliance, contributing to strategic vision development and organizational structuring for international development initiatives
• Optimized internal workflows and reduced administrative overhead through systematic process analysis and documentation
• Designed and implemented governance frameworks and data governance standards to support ESG compliance and transparency requirements for NGO operations
• Developed comprehensive data strategy to enhance data quality, transparency, and reporting capabilities across international stakeholder network

• Lead developer of Prof. Valmed, the first LLM-powered medical device (utilising RAG on a medical corpus of 2.5M+ documents) to receive a CE certification.
• Designed and implemented cloud-native MLOps infrastructure for ENBW’s energy trading analytics division, enabling scalable deployment and monitoring of predictive models.
• Architected end-to-end testing and validation frameworks for AI/ML systems, ensuring quality, compliance, and robustness in critical and regulated applications.
• Conducted professional training on AI testing, EU regulatory frameworks, and quality assurance for production AI systems.

• Architected and deployed LLM based AI agents, RAG pipelines, and vector search solutions for decision support across retail banking department.
• Developed and shipped robust AI pipelines with guardrails, error handling, monitoring, and fallback logic ensuring high reliability outcomes and compliance with data privacy.
• Developed and deployed ML models to identify transactional anomalies, improving fraud detection and risk assessment in high-volume datasets for credit risk modelling.
• Built, evaluated and fine-tuned ML models to generate propensity scores for customers used to drive personalized targeting campaigns for credit cards and personal finance/loan products.
• Developed an NLP pipeline using BERT embeddings and spaCy NER for SMS/email analysis and customer query logs.
• Trained machine learning models using Isolation Forest to classify user behaviour and detect anomalies.
• Extracted, cleaned, enriched and feature engineered datasets from different sources to build feature stores that powered ML model training.
• Led development of dashboards using Power BI, Grafana, and Prometheus to monitor model performances, KPI trends, and marketing metrics.
• Built multi-touch attribution models using logistic regression and time-decay weights to evaluate lead quality.
• Developed scalable ETL pipelines from CRM, T24, SAP, and ERP, supporting millions of monthly transactions.
• Integrated testing and CI/CD workflows for robust data pipeline deployment.

• Electronic logbook app developed for research centers to maintain their investigations.
• Emphasizes user-driven organization of communication: experiment groups can configure information structure and notifications, while principal investigators maintain full access control.
• Real-time integration with the facility’s metadata catalogue, control system Karabo, and data analysis tool enables the automatic logging of key events, complemented by manual entries as needed.

• Took the lead in analyzing customer support data for a global e-commerce brand's UK and Ireland operations, identifying common issues that resulted in a 30% increase in first contact resolution and a 25% decrease in repeat customer requests.
• Created Power BI service performance dashboards to assist the team in identifying pain points and improving the overall customer experience, resulting in a 15-point increase in NPS.
• Worked together with IT and support teams to optimize CRM systems and workflows, resulting in a 20% reduction in average response times.
• Used Python (pandas, NumPy) to automate data transformation pipelines, converting complex datasets into usable insights that improved service efficiency.
• Designed feedback loops and implemented significant operational adjustments to reduce customer attrition by 18%.
• Maintained and improved internal Excel tracking tools for monitoring key performance indicators and delivering weekly updates across teams.

• Consultant for IT application development and data science

• Built backend APIs using Quarkus, Kotlin, MongoDB, Docker Compose and NGINX
• Developed frontend with React, TypeScript and Ant Design