• Java - Spring Boot development of a stateless and linearly scalable backend service for identity and access management, data management processing and persistence (Building Tool Gradle)

• Vue.js Front-End Development with HTML, CSS and JavaScript

• Database Modeling (e.g. relational, key-value), deployment and migration management for Redis and PostgreSQL

• Product development, architecture design decision, system landscape and technology selection

• Docker Compose development environment

• Administration of a Linux Server (Ubuntu Server)

• Frontend testing with Selenium, load tests and E2E tests with JMeter

• Data Focus

  • Unstructured & Semi Structured Documents, Operational Data, IAM

• Leading a team of seven (Data Scientist, Data Engineer, Frontend, Backend, DevOps, Frontend Trainee, Behavioral Psychologist)

• Periodical presentations to more than 200 people

• Cross team communication/negotiation with stakeholders, CTO and CEO

• Concept, design and development of intercommunicating (REST APIs) microservices (Frontend-, Backend-, Optimization-, Content Delivery Service) in Kubernetes on AWS

• Administration of a cloud native Gitlab CI/CD Pipeline with Helm Charts for Kubernetes on AWS

• Java development of a production ready backend service (Quarkus later Spring Boot)

• Optimization and functional extension of a Contextual Multi-armed Bandit optimization service

• Operate and administrate PostqreSQL, MySQL, Amazon S3 (Bucket), Elastic Search and Druid

• Prometheus based monitoring of Cloud Native Services with Grafana dashboards and Google Chat integrated alarms

• Development of an Apache Kafka based Event Streaming system for experiment configurations & requirements driven functional expansion of server- and client-side tracking

• Standardization of frontend testing with Selenium, load tests and E2E tests with Apache JMeter

• Cross-container logging persistence in ES with analysis via Kibana

• Keys

  • PaaS, Online Machine Learning, Behavioral Science, Customer Loyalization

• Data Focus

  • Clickstream Data, Unstructured Texts (Articles), Operational Data, Semi-Structured Documents

• Python and Java development and integration in Cloud Native Gitlab CI/CD pipeline with Helm Charts for Kubernetes on AWS

• Java development of a stateless backend service (Quarkus) for building and delivering query based optimized and trackable HTML templates

• Python development and integration of Multi-armed Bandit Optimization Service (FastAPI) based on Facebooks Ax

• Python development of an E2E testing tool for objective validation of the online learning process using simulated actors

• Complete integration in productive environment of an online machine learning system from observation to optimization to interference

• Lazy loading and content integration management with Google Tag Manager and JavaScript

• In-depth analysis and knowledge transfer of the Thompson Sampler in comparison to similar heuristics and the corresponding Thompson Sampler Ax implementation

• Operate and administrate PostqreSQL, MySQL, Elastic Search and Druid

• Designing Grafana dashboards to monitor system health and performance with Prometheus fed metrics of cloud native services

• Comparison of different Part-of-Speech (POS) annotation algorithms (spaCy, NLTK, Graph Database approach)

• Graph database querying with GraphQL (e.g. Wikidata)

• Keys

  • Machine Learning, Exploration-Exploitation Dilemma, Automated Design Decisioning, Recommendation

• Data Focus

  • Clickstream Data, Unstructured Documents (Articles)

• Consulting and executive role for databases and ETL processes, especially in the design and implementation of experimental database functionalities

• Python, JavaScript and Shell development of a database testing tool and automated deployment for the multi-dimensional key/value store CortexDB

• Python development of a process chain for automated preprocessing of text files using OCR and fuzzy logic

• Design and implementation of a database model for CortexDB suitable for complex speech analysis

• Python & JavaScript Development of a universal and automatic import function for CSV and semistructured files into a structured database model using evolutionary algorithms

• Keys

  • Data Representation & Data Processing Research, ETL

• Data Focus

  • Images, Unstructured Documents, Operational Data, Network Data

Excerpt of the area of responsibility, partially shortened due to confidentiality

• Consultant for the further development of the functionality, nomenclature, efficiency, and userfriendliness of the CortexDB platform

• Development and documentation of a research project for advertising and training purposes

• Multi-Dimensional Database Modelling in CortexUniplex

• Data Preprocessing and transformation with pandas and Beautiful Soup in Python

• Automated extraction of quantity limited REST API

• Offline and online database load using JavaScript developer scripts as well as CortexUniplex functionality

• Excerpt probe analyses of all data and efficiency testing

• Keys

  • Data Gathering, Data Preprocessing, Database Modeling, ETL

• Data Focus

  • Semistructured Data & Metadata (of Newspaper Articles)

• HTML/CSS web design, implementation, and maintenance of the Data Modeling Zone website in WordPress

• Implementation of an online ticket store

• Established newsletter automation using Mailchimp

• Various image processing in Gimp for advertising purposes

• Project Planning and Team Coordination

• Composition of the technical Equipment

• Keys

  • Web Design, Data Modeling Zone 2018, Big Data Workshops

• Reduction of expenses by 96 percent by complete automation of the residual value prognosis of used vehicles with complete integration into the Microsoft Server landscape using R Services, Stored Procedures and H2O

• Prediction of the sales probability of used vehicles on a B2B online platform using clickstream data, SVM and CNN

• Methodical increase of the forecast significant in quality and performance by feature selection, aggregation, technology comparison, architecture and training settings optimization

• ETL, cleansing, merging, staging and data aggregation with SSMS and Transact-SQL on Data Vault 2.0, Star-, Galaxy- as well as Snowflake Schema modeled relational databases

• Contribution to the development of a Data Vault 2.0 based DWH for clickstream data

• Data analysis, and data visualization with ODBC Driver and R in R-Studio

• Development of a new visualization model for clickstream data using ggplot2

• Consultant on the feasibility of an international early warning system

• Consultant for the reorganization of a network using cluster analysis

• Keys

  • Residual value forecasts, Purchase probability forecast, Datamining automation

• Data Focus

  • Clickstream Data, Vehicle Data, Inventory Data, Sales Data

• Tutor for the module Mathematics 1

• Preparation of lectures: Creating exercises and explaining the study material

• Responsible for the Mathematics 1 students in Business Informatic Systems

• Keys

  • Mathematic, Lessons, Task Sheets