R Experts in Frankfurt

• Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.

• Defining the general guidelines in the QA handbook

• Summarising test results in QA reports for PLA

• Analysing project results for improvement opportunities

• Quality management of requirements analysis (particularly processes, methods, and tools)

• Ensuring compliance with SERA requirements

• Creating a cross-project test concept

• Agreeing on sprint completion reports

• Formal review of work results in accordance with requirements and/or the project plan

• Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)

• Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes

Statistical Forecasting Algorithm

• Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
• Migration from R/On-premise to Python/Snowflake
• Productionalization on Snowflake in cooperation with data engineers & DevOps

Monitoring Dashboard

• Data engineering for preparation & provisioning of necessary data/resources on Snowflake
• Development & deployment of a Streamlit dashboard in Snowflake

ML-based Probabilistic Forecasting on Vertex AI

• Development of a ML-based probabilistic forecasting algorithm from scratch
• Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI

Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow

Project, Strategic Consulting – building the Data Strategy and Data Governance Policy for the German branch, client (private bank Julius Bär, headquarters Zurich), March 2026 – present

• Design and negotiation of the data strategy with key stakeholders, including obtaining board sign-off (strategic consulting) – in this context, regulatory advice on data regulations in the EU and specifically for Germany. The data strategy includes: Data Lifecycle Management: data capture, data storage, data usage, data retention policy, data quality incident management
• Definition of milestones and technical feasibility for implementing TOM for the data strategy, data quality checks, metrics, and a metadata inventory to ensure the bank’s compliance with DORA, BCBS239, and MaRisk requirements.

Core project data change, client: (ING Bank, Frankfurt am Main), March – December 2025

• Concept development and solution design for new end-to-end processes including technical interfaces
• Definition of synchronization logic and data flows between legacy and target systems (decommissioning of legacy systems)
• Analysis and validation of data models
• Stakeholder communication with product owners, feature engineers, UX designers, and operational teams for decision-making
• Analytics and impact assessments, e.g. to assess downstream effects and regulatory requirements
• Documentation and comments on technical and business requirements to support implementation in agile squads

Project digitalization of a user group, client: (ING Bank, Frankfurt am Main), as Interim Product Owner, Jan 2025 – present

• Co-shaping key decisions on data architecture and process logic in the context of historized data and user login functionality
• Development of business solution concepts for migration to the target system, including system integration and data flows
• Support with analytics and impact analyses, especially regarding the ability to provide information to law enforcement authorities
• Active coordination with stakeholders from different squads to support decision-making and ensure regulatory requirements are met
• Creation of test scenarios for operational teams and backend systems in the area of API management using Postman and Bruno.

• Co-founded the Real-Time Data team, which grew to 10 members over time.
• Developed and delivered core data products.
• Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
• Created and maintained deployment pipelines.
• Collaborated with teammates, architects and experts in an agile Scrum environment.
• Operated applications, analyzed, tested and troubleshot software solutions.

• Optimized the patient journey through big data analysis and cross-functional collaboration
• Regionalized NICU centers with 86% coverage using mathematical models
• Developed patient flow and geoprocessing models with Python and ArcGIS, resulting in an 18% increase in efficiency
• Built simulation models to optimize bed utilization and reduce waiting times with Rockwell Arena
• Developed analytical dashboards in collaboration with clinical experts
• Implemented machine learning algorithms for birth predictions and cross-functional prescription analyses

• Introduction of a new workflow tool for Fibre Connectivity & Broadband Delivery
• Requirements design, estimation and prioritization
• Creation of rollout and project plans
• Management of the development team according to Scrum
• Design and project management of the API interface to existing tools
• Process modeling for the new Order Dispatching team (FCD & BD)
• Design of processes within and outside the team
• Requirements design and implementation of the necessary tools
• Creation and calculation of production KPIs

• Analysis of web and campaign performance to derive actionable insights for marketing and growth optimization
• Implementation and maintenance of tag management solutions to ensure reliable and consistent data collection
• Continuous development and optimization of reporting structures with a focus on scalability and data quality
• Conducting regular deep-dive analyses and leading monthly stakeholder sessions to present results and align on optimization measures
• Design and operation of end-to-end data flows from data collection to visualization
• Tools: GA4, Google Tag Manager, Looker Studio, Airbyte, BigQuery

• Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
• Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
• Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.

• Implementation of business transaction layouts for the online banking UI in compliance with BITV (accessibility)
• Technologies: JavaScript, jQuery, LESS

• Sub-project manager and business analyst for MiFID II cost transparency
• Creating technical specifications to connect existing applications to a new MiFID II platform
• Modeling new processes in BPMN for business units
• Preparing decision templates for the steering committee

• Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
• Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
• Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
• Use of Scrum and Kanban methods.
• Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
• Development of new plugins and add-ons needed on current infrastructure.
• Database support.
• Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
• Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
• Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
• Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
• Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
• Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
• Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
• Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
• Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
• Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
• Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
• Automated system provisioning and deployment using CloudFormation templates.
• Configuration of IAM roles, policies and permissions to ensure secure access control.
• Patch management, backup automation and disaster recovery setup on AWS infrastructure.
• Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
• Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
• Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
• Configuration of AWS CloudWatch to monitor application performance and system events.
• Planning and execution of migration of on-premises applications to AWS cloud platforms.
• Deployment of containerized applications using Docker and Kubernetes in AWS environments.
• Deployment of internal software packages between availability zones using AWS CodeDeploy.
• Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.

• Led cross-functional compliance and IT programs spanning infrastructure, security, legal, and executive stakeholders, ensuring audit readiness and regulatory alignment.

• Acted as single point of ownership for IT governance and CSR programs, defining scope, milestones, risks, and success metrics.

• Partnered directly with VP of IT as a governance and control counterpart, supporting security incidents, compliance posture (ISO 27001, GDPR, SOC 2), and executive reporting.

• Supported organizational readiness for emerging EU regulations, including the EU Cyber Resilience Act (CRA) and EU AI Act, by analyzing regulatory requirements, identifying governance and compliance impacts, and aligning internal policies and control processes.

• Designed and scaled data collection and reporting processes for CSR and regulatory reporting across group and subsidiary level.

• Drove process improvements and standardization, increasing transparency, predictability, and audit readiness.

• Technologies and tools: Office 365 Power BI, MS SharePoint, MS Word, MS Excel, MS Teams, Zendesk, Confluence, JIRA, Vanta.

• Analyze system requirements and mapping concepts (ETL requirements) for data flows and transformation logic in the bank's DWH
• Analyze data in DB tables and views of the DWH using SQL (DB2)
• Independently define, create, and execute test cases in JIRA Xray (SIT)
• Write SQL queries in DB2 to verify data scenarios and mappings
• Create test plans for SAP FSDP and concurrent projects
• Conduct error and root cause analyses in coordination with business analysts, developers, test managers, and the infrastructure team
• Thoroughly document test results in JIRA Xray
• Coordinate between business analysis, development, DB infrastructure, business units, and external vendors

• Design, architecture & development/programming of ETL/ELT data pipelines, DWH, BI solution
• Technical project lead, POC – proof-of-concept creation
• Liaison between business units and technical teams
• Azure DevOps Boards & Jira
• Data modeling & data engineering – data warehouse & data mart
• Azure (Data Factory, Azure SQL, Azure DevOps CI/CD, Azure Data Lake V2, Business Central REST API, OData API, OAuth2 tokens)
• SharePoint lists & API for ADF, Firebird DB, Postgres DB, DB2
• Power BI (Power Query), DAX, Excel PBI add-on, GIS data
• Automated ETL process monitoring/logging, performance monitoring, error monitoring – capturing & resolution
• Index performance tuning & statistics monitoring, Transact-SQL
• Data security – MFA (multi-factor authentication) & OAuth2, MS Graph, Azure networks & firewalls, gateways, roles, user groups – with read/write permissions
• Sources – Vario Bill, Camunda, Radius, Geo Database, OTRS, PAST, MS Dynamics Business Central, Azure Blob Data Lake, SharePoint lists