André G.-MLOps, Python, Azure Cloud Engineer with a Background in the Energy Industry

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Experience
Schaumann GmbH
- Complete conception, design, implementation, and operations of a voice chatbot
- Evaluation of various implementation concepts (STT, TTS, speech-to-speech)
- Integration into telephone platforms
- Implementation of dashboards and KPIs
- Definition and coordination of customer requirements
- Technologies used: FastAPI, Deepgram, ElevenLabs, LangChain, LangGraph, GitHub Actions, Streamlit, Vonage
Munich RE AG
- Concept development and migration of GenAI use cases
- Definition and migration of role concepts (RBAC) between different cloud environments
- Migration of cloud components between AWS and Azure, including VNET integration
- Technologies used: Azure Entra, Azure DevOps, VNET, Kubernetes, Databricks, and more
E.ON Energy Markets GmbH
- Design and development of an MLOps platform based on AzureML
- Integration of algorithmic energy trading models with exchange trading systems
- Creation of ETL jobs for operating machine learning models
- Development of DevOps processes with Azure DevOps
- Technologies used: Azure ML, Azure DevOps, Python, Kubernetes, and more
Vaillant Group
- Development of various data pipelines to transform Apache Kafka data into analytics tables (Delta Tables, MS SQL Server) using PySpark
- Design and creation of NoSQL database schemas for big data processing (Data Vault / Data Mart / 3rd Normal Form)
- Automation of ETL job orchestration with Databricks
- Management of the data infrastructure in Azure, including GitHub Actions, Azure DevOps, and Azure Storage Accounts
- Technologies used: Databricks, PySpark, GitHub Actions, Azure Storage Accounts
Munich RE AG
- Design and development of a compliant MLOps solution for the machine learning model lifecycle in reinsurance
- Development of solutions for model monitoring
- Development of a CI/CD system with Azure DevOps Pipelines
- Development of centralized logging for multiple Azure services through Azure Monitor
- Technologies used: Databricks, Azure DevOps, Kubernetes, Python, and more
SMA Solar Technology AG
- Automated economically efficient global optimization of production planning using linear programming
- Visualization and presentation of results to internal company stakeholders
- Technologies used: Python, python-mip, pandas, JupyterLab, Plotly
SMA Solar Technology AG
- Designed and provided technical consulting for the implementation of the algorithmic trading component of the overall project
- Analyzed and quantitatively evaluated backtesting datasets from providers of market price forecasts
- Technologies used: Python, python-mip, pandas, Azure DevOps, Docker
SMA Solar Technology AG
- Independently designed and delivered a multi-day technical training course on data analysis with Python several times
- Technologies used: Python, NumPy, pandas, Matplotlib, Jupyter, scikit-learn
SMA Solar Technology AG
- Data-based forecasting of sales figures for individual product groups based on historical sales figures and market development models
- Visualization and presentation of results to internal company stakeholders
- Technologies used: Python, scikit-learn, Prophet, statsmodels, pandas, Plotly
SMA Solar Technology AG
- Introduced a CI/CD process for an operational Python analytics framework with Gitflow-like workflows (automated unit/integration testing, semantic versioning, automated containerization, automated deployment)
- Implemented using Azure DevOps in a hybrid cloud/on-premises infrastructure
- Technologies used: Azure DevOps, Azure Container Registry, Azure Artifacts, Python, shell scripts, Ansible, SemVer, Docker
SMA Solar Technology AG
- Created a configurable Python framework for conducting predictive maintenance analyses, as well as internal data processing libraries and pipelines
- Created expert functions to detect specific faults in photovoltaic inverters
- Predicted failure probabilities for individual components based on isotonic regression models
- Technologies used: Python, pandas, NumPy, scikit-learn, SQLAlchemy, PyArrow
University of Kassel
- Conducted complete machine learning experiment workflows (preprocessing, data filtering, feature engineering, experimental design) to predict the output of wind turbines (intraday and day-ahead horizons)
- Created parametric and nonparametric density forecasts of power generation
- Developed a novel ensemble technique for dynamically weighted combination of individual density forecasts into an ensemble mixture model
- Acquired basic knowledge of grid simulation as part of applications for BMWi funding
- Technologies used: MATLAB, Neural Net Toolbox, Machine Learning Toolbox, Optimization Toolbox, Global Optimization Toolbox
University of Kassel
- Developed an algorithm for detecting events in time series based on supervised learning principles
- Evaluated the online-capable algorithm using synthetic and real-world data (e.g., ECG data streams)
- Published the developed algorithm on SpringerLink
Industry experience
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Experienced in Energy, Insurance, and Education.
Business area experience
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Experienced in Information Technology, Research and Development, Business Intelligence, and Product Development.
Skills
Software Engineering (Python). In-Depth Knowledge Of Designing Software Frameworks, With Implemented Applications In The Areas Of Platform Engineering, Predictive Maintenance, And Computer Vision.
Cloud Engineering & Devops. Several Years Of Hands-On Experience Operating Multiple Python Software Services In Native And Hybrid Cloud Environments Using Azure Devops (Continuous Integration / Deployment, Containerization, Monitoring, Etc.) And Many Azure Services.
Machine Learning, Pattern Recognition, And Time Series Forecasting, With Implemented Applications In Renewable Energy Power Forecasting, Energy Market Trading, And Much More.
Energy Forecasting And Trading. Phd In Energy Forecasting, With Several Years Of Experience In The Energy Industry, Including Applications In Energy Trading.
Python. 9 Years. Daily Use For Data Engineering And Machine Learning.
Matlab. 7 Years. Several Years Of Experience With Ml And Statistical Toolboxes.
Sql. 4 Years. Performing Queries Across Multiple Tables.
Pandas. 8 Years. Processing And Cleaning Heterogeneous Time Series Data.
Mlflow. 6 Years. Life-Cycle Management Of Ml Models.
Pytest. 6 Years. Unit And Integration Testing For Software Frameworks.
Azure Sdk. 4 Years. Extensive Use Of Many Azure Sdk Functions.
Restful Api. 5 Years. Used As A Front End For Microservices With Flask, Fastapi, And Openapi.
Pydantic. 3 Years. Robust Rest Api Design.
Numpy. 6 Years. Speeding Up Loops Through Vector Operations.
Scikit-Learn. 6 Years. Implementing Ml Models For Microservices.
Sqlalchemy. 4 Years. Introducing An Orm System Into A Software Framework.
Plotly. 3 Years. Creating Interactive Plots And Dashboards.
Statsmodels. 2 Years. Time Series Analysis And Forecasting.
Git. 7 Years. Designing Different Branching Workflows In Ci/Cd.
Docker. 3 Years. Developing Containers For Deploying Microservices.
Scripting. 5 Years. Shell Scripting With Windows And Linux (Bash, Powershell).
Azure Devops. 5 Years. Operating A Software Framework (Ci/Cd).
Azureml. 4 Years. Developing And Automating Endpoint Deployment In Azureml.
Databricks. 3 Years. Using Various Databricks Apis.
Managed Identity (Mi). 5 Years. Using Managed Identity Authentication.
Cosmosdb. 3 Years. Designing Schema-Less Nosql Databases.
Aci. 2 Years. Configuration And Deployment Using Azure Container Instances.
Azure Functions. 2 Years. Creating Serverless Functions.
Vnet. 2 Years. Designing Vnets, Including Private And Service Endpoints.
Acr. 4 Years. Container Management With Azure Container Registry.
Keyvault. 5 Years. Using Credentials Without Explicitly Storing Them In The Code.
Aad Auth. 2 Years. Developing Authentication Workflows With Microsoft Entra.
Languages
Education
University of Kassel
Doctor of Natural Sciences, Wind Power Ensemble Forecasting – Performance Measures And Ensemble Architectures For · Energy Forecasting · Kassel, Germany · Grade 1.0
Aschaffenburg University of Applied Sciences
Master of Engineering · Electrical and Information Engineering · Aschaffenburg, Germany · Grade 1.1
Aschaffenburg University of Applied Sciences
Bachelor of Engineering · Electrical and Information Engineering · Aschaffenburg, Germany · Grade 2.0
Certifications & licenses
Cambridge BEC Certificate
Cambridge
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
André is based in Kassel, Germany and can operate in on-site, hybrid, and remote work models.
André speaks the following languages: German (Advanced), English (Advanced), French (Intermediate).
André has at least 9 years of experience. During this time, André has worked and for 6 different companies. The average length of individual experience is 1 year and 8 months. Note that André may not have shared all experience and actually has more experience.
In recent years, André has worked for Schaumann GmbH, Munich RE AG, E.ON Energy Markets GmbH, Vaillant Group, and SMA Solar Technology AG.
André is most experienced in industries like Energy, Insurance, and Education. André also has some experience in Agriculture and Biotechnology.
André is most experienced in business areas like Information Technology, Research and Development, and Business Intelligence. André also has some experience in Product Development and Production.
André has recently worked in industries like Energy, Insurance, and Agriculture.
André has recently worked in business areas like Information Technology, Research and Development, and Business Intelligence.
André holds a Doctorate in Energy Forecasting from University of Kassel, a Master in Electrical and Information Engineering from Aschaffenburg University of Applied Sciences and a Bachelor in Electrical and Information Engineering from Aschaffenburg University of Applied Sciences.
André has 1 certificate: Cambridge BEC Certificate.
The availability of André needs to be confirmed.
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