Selected References
RTL - Data Platform
Data Product
The data product is a data platform as an enterprise knowledge graph.
Our Role
SCRUM Product Owner
Solution Architect
Contribution
Development started, and the first version was released.
Description
As Product Owner and Solution Architect, Matthias was responsible for developing the data platform and connected web app. The development goal was to provide high-data quality with a central and harmonized data platform - the Enterprise Knowledge Graph. In addition, a web application was developed that allows users to easily interact with the knowledge graph to build new data-driven services. The solution includes a custom ontology, numerous machine-learning services, and a complex data ETL pipeline. Our multi-cloud environment includes Google Cloud Platform, AWS, and Azure. On the data engineering side, core technologies include Terraform, Docker, Kubernetes, Pub/Sub, Microservices, CI/CD pipelines, ArgoCD, and many more.
Key Words: SCRUM • Data Science • Data Engineering • Machine Learning • Knowledge Graph • Ontology • RDF • Kubernetes • Docker • Microservices • Streaming • Full-Stack Web App Development • Natural Language Processing • Google Cloud • Team Leadership • Stakeholder Management • Collaboration • Agile Culture
Siemens - Predictive Maintenance for Logistics Centers
Data Product
Service for forecasting maintenance and failures in logistics centers.
Our Role
SCRUM Product Owner
Solution Architect
Contribution
Development started, and the first version was released.
Description
As Product Owner and Solution Architect, Matthias was responsible for developing a Service to detect and predict machine failures and required maintenance for stagger cranes in logistic centers. Technically the solution was based on anomaly detection algorithms deployed as microservices in Kubernetes clusters. The software architecture was a hybrid cloud- and edge computing solution to balance fast computation in edge devices and aggregated data analytics in cloud services.
Key Words: SCRUM • Anomaly Detection • Machine Learning • Industrial IoT • Logistics centers • Predictive Maintenance • AWS • Kubernetes • Team Leadership • Collaboration • Solution Architecture • Start-Up Collaboration • User Centricity • Project Culture
Siemens - Data Prediction Tool
Data Product
Tool for forecasting the optimal phase-out of products.
Our Role
SCRUM Product Owner
Innovation Manager
Contribution
Development started, and the first version was released.
Description
As Product Owner and Innovation Manager, Matthias was responsible for developing a tool to forecast product demand for the next few years for the optimal phase-out of products. The focus was to build a solution that connects the necessary data sources, provides the required information in dashboards to users, and develops suitable forecasting models.
Key Words: SCRUM • Data Analytics • Machine Learning • Data Science • SAP HANA • Tableau • AWS • Team Leadership • Collaboration • Product Incubation • Innovation • User Centricity • Project Culture
Energieausweis48 - Certificate Application Service
Product
Online service for issuing energy certificates for residential buildings.
Our Role
SCRUM Product Owner
SCRUM Master.
Contribution
Led major refactorings for data quality. Product integrations released.
Description
As SCRUM Master, Tobias introduced SCRUM. The product was an online service for issuing energy certificates for residential buildings by commercial customers. As Product Owner, he was responsible for significant refactorings for high data quality. Besides that, he led the development of product integrations, which were successfully released under his leadership.
Key Words: SCRUM • Requirements Management • User Testing • Stakeholder Management • Collaboration • Agile Culture • React • PHP • Refactoring Strategies • Full-Stack Web Development
Make Industry Easy - Service Technician Marketplace
Product
Service Technician Marketplace
Our Role
Business Owner
Development Team
Contribution
Project started
MVP released
Description
As a business owner and development team, IPB develops an online B2B marketplace for CNC service. Our team developed the business plan, conducted customer discovery interviews, developed the Go-To-Market concept, created a comprehensive MVP, and onboarded pilot customers. The full-stack development is still ongoing.
In this project, we are our own in-house software product start-up. Here we apply our skills to our own product.
Key Words: Business Incubation • UX Research • Design Thinking • Customer Discovery• Online Market Place • B2B platform • E-Commerce • Knowledge Graph • Start-Up • Product/Market Fit • Pricing Strategy • Go-To-Market Strategy • Business Model Development • Business Plan • SCRUM • Lean Start-Up • Collaboration • Leadership • Full-Stack Development • Kubernetes • GCP • Flutter • Figma • Prototyping
BRAIN STATION 51 GmbH
Product
Microservices Architecture
Our Role
Data Engineer
Data Scientist
Contribution
The project started, Conception and implementation of a solution.
Description
As a data engineer, Noureddine was responsible for Feature extraction from the data using AI algorithms and data synchronization, Developing (Environmental, Social, Governance ) ESG optimization software in real-time, assisting Artificial intelligent ESG, recognizing correlations in data and regularly providing suggestions for optimizing assets, building concept of a microservices architecture.
Key Words: Docker • Jenkins • Django • Python • NodeJS • RabbitMQ • ReactJS • PostgreSQL • PowerBI • Juypter Notebook • MongoDB • Tableau
Cloudrizon GmbH
Product
ETL process
Data Warehouse
Our Role
Data Engineer
DevOps Engineer
Contribution
Processing heterogeneous data
Preparing the ETL process
Creating a Data Warehouse.
Description
As a data engineer, Noureddine processed heterogeneous data, prepared the ETL process, created a Data Warehouse, updated Automatic and autonomous data, designed and built Dashboards, provided Security, project access permission and servers, DevOps, Server configuration and deployment with CD/CI.
Key Words: Docker • Kubernetes • Google Data Studio • Google Cloud Platform • Azure Data Factory • ReactJS • Javascript • Python • Celery • PostgreSQL • MongoDB • JIRA • Bitbucket
