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