Generative AI, LLM, AI Architekt, Data Architekt, Data Products, Data Science, Python
Aktualisiert am 29.05.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 16.05.2024
Verfügbar zu: 100%
davon vor Ort: 100%
Data Scientist
Künstliche Intelligenz
Datenarchitektur
Python
SQL
Künstliche Intelligenz
Analytics Engineer
MongoDB
ETL
Machine Learning
Datenarchitektur
German
native
English
full professional proficiency
French
Basic Skills (B2)

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

4 Monate
2024-02 - heute

Senior Data Architekt für Generative KI Anwendungen

Senior Data Architekt
Senior Data Architekt
  • Entwickeln einer Datenstrategie in Abstimmung mit den Geschäftszielen der Kunden

  • Entwerfen und Implementieren von komplexen Datenmodellen und Ontologien

  • Schaffen einer konsolidierten Datenbasis

  • Sicherstellung der Datenqualität auf höchstem Niveau

  • Planen und Gestalten von Datenarchitektur für verschiedene Anwendungen und Systeme

  • Entwickeln und Implementieren von Data-Governance-Verfahren

  • Auswahl von Datenbanken, Tools und Technologien in Abstimmung mit den Anforderungen unserer Kunden

RAG Graphikbibliothek Metadaten GitLab GitHub Azure
8 Monate
2023-10 - heute

Generative AI Use Case Identification and PoC building

Architekt & Engineer Python
Architekt & Engineer

?     Identification and alignment on generative AI use cases

?     Definition of requirements for each AI use case

?     Assurance of data acquisition and adequacy for AI models

?     Development of generative AI proofs of concept

?     Strategy planning for generative AI deployment

?     Enablement and training of employees on AI systems

?     Conducting of workshops

?     Tools: Azure Open AI, ChatGPT, Gemini, Mistral, Python, Streamlit, RAG

Python Azure ChatGPT Chatbot
Python
1 Jahr
2023-01 - 2023-12

Machine Learning based Prediction Models to improve Stocking and Logistics Processes

Data Scientist and Product Manager SAP DWC & SAC Python (Pandas NumPy ...
Data Scientist and Product Manager
  • Stakeholder and business requirement analysis and communication
  • Experience working as a data scientist and engineer in the logistics field, with a focus on handling large amounts of data.
  • Proficiency in Microsoft SQL, SSIS, and Visual Studio for data extraction, transformation, and loading.
  • Expertise in data visualization and reporting using Power BI, including creating interactive dashboards and reports to track key performance indicators (KPIs) and business metrics.
  • Strong programming skills in Python, including experience with data manipulation libraries such as Pandas and NumPy, as well as data analysis and machine learning frameworks like Scikit-learn.
  • Familiarity with SAP Data Warehouse Cloud (DWC) and SAP Analytics Cloud (SAC), including experience with data modeling, data integration, and creating interactive dashboards and reports.
  • Experience working with various data sources, including structured and unstructured data, and using data modeling techniques to create efficient and effective data structures.
MS Power BI Python SAP
SAP DWC & SAC Python (Pandas NumPy Scikit-learn TensorFlow) SQL PowerBI Gitlab
Automotive Industry
8 Monate
2022-05 - 2022-12

Data Analytics Platform for Production and Product Design of Next Generation Batteries

Data Analytics Engineer Python (Pandas NumPy Scikit-learn) ...
Data Analytics Engineer
  • Stakeholder and business requirement analysis and workshops for business understanding 
  • Development of a rule-based machine learning method to discover interesting relations between different variables of batteries and production processes 
  • Processing of model results for data-driven support of product development and production design under consideration of multiple KPIs (e.g., battery performance and costs) 
  • Supporting process experts with valuable insights into data
Python (Pandas NumPy Scikit-learn) SQL Data Warehouse Gitlab BI Tools Plotly Streamlit CRISP-DM
Daimler AG
1 Jahr
2021-10 - 2022-09

AI-based Root Cause Analysis in an Automotive Paint Shop to Reduce Paint Failures

Solution Architect and Data Scientist Python (Pandas NumPy Scikit-learn) ...
Solution Architect and Data Scientist
  • Stakeholder and business requirement analysis and workshops for business understanding 
  • Data management and big data engineering of ~2500 sensors data per car, including temperatures, humidity, airflow, energy consumption, process parameter and ERP information 
  • Building data pipeline to track and trace cars along all processes in the paint shop 
  • Model building to identify root causes for main drivers of paint failures 
  • Supporting process experts with valuable insights into data
Python (Pandas NumPy Scikit-learn) SQL BI Tools Plotly Gitlab
Volkswagen AG
3 Jahre 5 Monate
2019-03 - 2022-07

Development of a Cloud-based Analytics Platform for Industry 4.0 Applications

Product Owner and Data Scientist Python (Pandas NumPy Scikit-learn ...
Product Owner and Data Scientist
  • Stakeholder and business requirement analysis 
  • Development of platform architecture for analytics application 
  • Development of a data warehouse to acquire and manage data from diverse sources and resolutions in one central cloud storage (based on AWS, ELK-Stack) 
  • Development of unsupervised machine learning models to identify different product groups along the value chain to optimize production and factory system (e.g., logistics) 
  • Implementation of ML models in AWS 
  • Development of a web-based decision support tool for different stakeholders 
  • Validation of models and preparation for implementation in serial operation 
  • Economic and ecological evaluation of improvement potentials and communication to top management
Python (Pandas NumPy Scikit-learn Keras TensorFlow) PostgreSQL MongoDB AWS Data Warehouse Gitlab (CI/CD) Docker BI Tools Plotly Streamlit Power BI CRISP-DM
Siemens AG
2 Jahre 4 Monate
2019-05 - 2021-08

Risk Assessment and Prediction Model to improve Business and Sales Processes

Data Scientist Python (Pandas Scikit-learn Keras ...
Data Scientist
  • Management and preprocessing of data from diverse data sources 
  • Definition of requirements for a prediction model 
  • Building a deep learning pipeline to predict different risk factors (e.g., damage or breakdowns) on multiple product levels 
  • Enabling the integration of human knowledge in the decision-making process 
  • Development of interactive dashboards for visualization of results
Python (Pandas Scikit-learn Keras TensorFlow) Plotly KNIME CRISP-DM
Aviation Industry
1 Jahr 7 Monate
2019-06 - 2020-12

Data Analysis to optimize Logistic Transportation Processes and Routing

Data Scientist Mathematical Optimization Java Simulation ...
Data Scientist
  • Management and preprocessing of data from diverse data sources (e.g., ERP, production data) 
  • Building machine learning models to improve multiple KPIs(e.g., truck utilization and throughput times) 
  • Combining data analytics with agent-based simulation to optimize transport routing 
  • Definition and evaluation of different material supply scenarios 
  • Identification and communication of improvement potentials
Mathematical Optimization Java Simulation Python (Pandas Scikit-learn) Plotly
Aviation Industry
1 Jahr 1 Monat
2018-05 - 2019-05

Data-driven Optimization of Production Processes to Reduce Energy Consumption

Project Manager Python Statistics Mathematical Optimization
Project Manager
  • Management and preprocessing of energy and production data 
  • Statistical analysis and modeling of time series process and energy data 
  • Identification of energy consumption improvement potentials to reduce total energy consumption 
  • Evaluation of different scenarios and assessment of cost-saving potential 
  • Development of user interface and dashboard for visualization of improvement potentials
Python Statistics Mathematical Optimization
Aviation Industry, Automotive Industry

Aus- und Weiterbildung

Aus- und Weiterbildung

5 Jahre 7 Monate
2018-01 - 2023-07

Studies Mechanical Engineering/ Sustainable Manufacturing

Dr-Ing. (Ph.D.), Technische Universität Braunschweig, Braunschweig (Germany)
Dr-Ing. (Ph.D.)
Technische Universität Braunschweig, Braunschweig (Germany)
Topic: on request
2 Jahre 1 Monat
2015-10 - 2017-10

Study - Industrial Engineering

Master of Science, Technische Universität Braunschweig, Braunschweig (Germany)
Master of Science
Technische Universität Braunschweig, Braunschweig (Germany)
  • Business informatics, Production & Logistics 
3 Jahre 9 Monate
2011-09 - 2015-05

Study - Industrial Engineering

Bachelor of Engineering, Ostfalia University of Applied Science, Wolfenbüttel (Germany)
Bachelor of Engineering
Ostfalia University of Applied Science, Wolfenbüttel (Germany)
Thesis: on request
6 Jahre 10 Monate
2004-08 - 2011-05

School Education

Abitur/ A-Levels, Gymnasium Isernhagen
Abitur/ A-Levels
Gymnasium Isernhagen
7 Monate
2009-01 - 2009-07

School Education

Canadian High School Diploma, St. James Collegiate Academy of Science and Technology, Winnipeg (Canada)
Canadian High School Diploma
St. James Collegiate Academy of Science and Technology, Winnipeg (Canada)

Position

Position

Data Science, Data Analysis, Solution Architect

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Künstliche Intelligenz Datenarchitektur Python SQL Künstliche Intelligenz Analytics Engineer MongoDB ETL Machine Learning Datenarchitektur

Produkte / Standards / Erfahrungen / Methoden

Profile

As a professional with over five years of experience in the automotive and manufacturing industry as a data scientist and project manager, I combine the latest research results in data science and machine learning, sustainable engineering, and project management skills with holistic thinking. I aim to use my interdisciplinary expertise with a high level of reliability and excellence to create innovative solutions. 


Data Acquisition & Management

  • Data Engineering 
    • Data Storage -  MySQL, MongoDB, PostgreSQL
    • Data Processing -  AWS, SQL, Excel, ?
    • Data Steaming - Kafka, PyFlow, ELK-Stack

Data Science
  • Data Analytics & Machine Learning
    • Python -  Pandas, Numpy
    • Machine Learning -  Scikit-learn, TensorFlow, Pandas, Keras, PyTorch
    • KNIME -  Excellent
    • Containerization - Docker
  • Visualizations, Preparation for Decision Contexts
    • Diagrams/ Charts -  Seaborn, Matplotlib, Plotly, ggplot2
    • Web Application -  Streamlit, Plotly
    • BI-Tools - PowerBI, SAP Analytics Cloud
  • Software Development & Project Management
    • Requirements Analysis - Workshops, Structured Interviews
    • Systems Analysis IT - UML, BPMN
    • Versioning - Github, Gitlab
    • Projekt Management - Asana, Confluence, Miro, SCRUM


WORK EXPERIENCE

10/2019 - today

Role: Data Scientist and Business Intelligence Engineer, Consultant


Tasks:

  • Helping organizations improve their processes and products through data analytics
  • Development of concepts and solution architectures for analytics platforms
  • Conducting data science projects and communicating the results to management
  • Definition and implementation of digitalization strategies for different customers
  • Product owner fuction in multi-disciplinary projects


01/2018 - 12/2022

Role: Team Lead and Research Engineer for Digitalization in Production and Logistics 

Customer: Technische Universität Braunschweig, Institute of Machine Tools and Production Technologies, Braunschweig (Germany)


Tasks:

  • Optimize manufacturing and logistic processes based on data science and analysis
  • Management of multiple data science consulting projects
  • Development of concepts and solution architectures and analytics platforms
  • Development of roadmaps for data science in production and logistics
  • Generation and communication of reporting


08/2015 - 12/2017

Role: Senior Project Manager 

Customer: Volkswagen AG, Production Planning, Wolfsburg (Germany)


Tasks:

  • Project management within the field of automotive production
  • Conducting feasibility studies
  • Business process modeling
  • Coordination and control of cross-company improvement processes


08/2011 - 07/2015

Role: Junior Project Manager (Internship as part of the dual studies program) 

Customer: Volkswagen AG, Production Planning, Wolfsburg (Germany)


Tasks:

  • Optimization of manufacturing processes
  • Conducting feasibility studies
  • Apprenticeship as an industrial engineer
  • Practical experience in the operational field of production and maintenance 

Branchen

Branchen

  • Automotive
  • Industry
  • Aviation
  • IT
  • Legal

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

4 Monate
2024-02 - heute

Senior Data Architekt für Generative KI Anwendungen

Senior Data Architekt
Senior Data Architekt
  • Entwickeln einer Datenstrategie in Abstimmung mit den Geschäftszielen der Kunden

  • Entwerfen und Implementieren von komplexen Datenmodellen und Ontologien

  • Schaffen einer konsolidierten Datenbasis

  • Sicherstellung der Datenqualität auf höchstem Niveau

  • Planen und Gestalten von Datenarchitektur für verschiedene Anwendungen und Systeme

  • Entwickeln und Implementieren von Data-Governance-Verfahren

  • Auswahl von Datenbanken, Tools und Technologien in Abstimmung mit den Anforderungen unserer Kunden

RAG Graphikbibliothek Metadaten GitLab GitHub Azure
8 Monate
2023-10 - heute

Generative AI Use Case Identification and PoC building

Architekt & Engineer Python
Architekt & Engineer

?     Identification and alignment on generative AI use cases

?     Definition of requirements for each AI use case

?     Assurance of data acquisition and adequacy for AI models

?     Development of generative AI proofs of concept

?     Strategy planning for generative AI deployment

?     Enablement and training of employees on AI systems

?     Conducting of workshops

?     Tools: Azure Open AI, ChatGPT, Gemini, Mistral, Python, Streamlit, RAG

Python Azure ChatGPT Chatbot
Python
1 Jahr
2023-01 - 2023-12

Machine Learning based Prediction Models to improve Stocking and Logistics Processes

Data Scientist and Product Manager SAP DWC & SAC Python (Pandas NumPy ...
Data Scientist and Product Manager
  • Stakeholder and business requirement analysis and communication
  • Experience working as a data scientist and engineer in the logistics field, with a focus on handling large amounts of data.
  • Proficiency in Microsoft SQL, SSIS, and Visual Studio for data extraction, transformation, and loading.
  • Expertise in data visualization and reporting using Power BI, including creating interactive dashboards and reports to track key performance indicators (KPIs) and business metrics.
  • Strong programming skills in Python, including experience with data manipulation libraries such as Pandas and NumPy, as well as data analysis and machine learning frameworks like Scikit-learn.
  • Familiarity with SAP Data Warehouse Cloud (DWC) and SAP Analytics Cloud (SAC), including experience with data modeling, data integration, and creating interactive dashboards and reports.
  • Experience working with various data sources, including structured and unstructured data, and using data modeling techniques to create efficient and effective data structures.
MS Power BI Python SAP
SAP DWC & SAC Python (Pandas NumPy Scikit-learn TensorFlow) SQL PowerBI Gitlab
Automotive Industry
8 Monate
2022-05 - 2022-12

Data Analytics Platform for Production and Product Design of Next Generation Batteries

Data Analytics Engineer Python (Pandas NumPy Scikit-learn) ...
Data Analytics Engineer
  • Stakeholder and business requirement analysis and workshops for business understanding 
  • Development of a rule-based machine learning method to discover interesting relations between different variables of batteries and production processes 
  • Processing of model results for data-driven support of product development and production design under consideration of multiple KPIs (e.g., battery performance and costs) 
  • Supporting process experts with valuable insights into data
Python (Pandas NumPy Scikit-learn) SQL Data Warehouse Gitlab BI Tools Plotly Streamlit CRISP-DM
Daimler AG
1 Jahr
2021-10 - 2022-09

AI-based Root Cause Analysis in an Automotive Paint Shop to Reduce Paint Failures

Solution Architect and Data Scientist Python (Pandas NumPy Scikit-learn) ...
Solution Architect and Data Scientist
  • Stakeholder and business requirement analysis and workshops for business understanding 
  • Data management and big data engineering of ~2500 sensors data per car, including temperatures, humidity, airflow, energy consumption, process parameter and ERP information 
  • Building data pipeline to track and trace cars along all processes in the paint shop 
  • Model building to identify root causes for main drivers of paint failures 
  • Supporting process experts with valuable insights into data
Python (Pandas NumPy Scikit-learn) SQL BI Tools Plotly Gitlab
Volkswagen AG
3 Jahre 5 Monate
2019-03 - 2022-07

Development of a Cloud-based Analytics Platform for Industry 4.0 Applications

Product Owner and Data Scientist Python (Pandas NumPy Scikit-learn ...
Product Owner and Data Scientist
  • Stakeholder and business requirement analysis 
  • Development of platform architecture for analytics application 
  • Development of a data warehouse to acquire and manage data from diverse sources and resolutions in one central cloud storage (based on AWS, ELK-Stack) 
  • Development of unsupervised machine learning models to identify different product groups along the value chain to optimize production and factory system (e.g., logistics) 
  • Implementation of ML models in AWS 
  • Development of a web-based decision support tool for different stakeholders 
  • Validation of models and preparation for implementation in serial operation 
  • Economic and ecological evaluation of improvement potentials and communication to top management
Python (Pandas NumPy Scikit-learn Keras TensorFlow) PostgreSQL MongoDB AWS Data Warehouse Gitlab (CI/CD) Docker BI Tools Plotly Streamlit Power BI CRISP-DM
Siemens AG
2 Jahre 4 Monate
2019-05 - 2021-08

Risk Assessment and Prediction Model to improve Business and Sales Processes

Data Scientist Python (Pandas Scikit-learn Keras ...
Data Scientist
  • Management and preprocessing of data from diverse data sources 
  • Definition of requirements for a prediction model 
  • Building a deep learning pipeline to predict different risk factors (e.g., damage or breakdowns) on multiple product levels 
  • Enabling the integration of human knowledge in the decision-making process 
  • Development of interactive dashboards for visualization of results
Python (Pandas Scikit-learn Keras TensorFlow) Plotly KNIME CRISP-DM
Aviation Industry
1 Jahr 7 Monate
2019-06 - 2020-12

Data Analysis to optimize Logistic Transportation Processes and Routing

Data Scientist Mathematical Optimization Java Simulation ...
Data Scientist
  • Management and preprocessing of data from diverse data sources (e.g., ERP, production data) 
  • Building machine learning models to improve multiple KPIs(e.g., truck utilization and throughput times) 
  • Combining data analytics with agent-based simulation to optimize transport routing 
  • Definition and evaluation of different material supply scenarios 
  • Identification and communication of improvement potentials
Mathematical Optimization Java Simulation Python (Pandas Scikit-learn) Plotly
Aviation Industry
1 Jahr 1 Monat
2018-05 - 2019-05

Data-driven Optimization of Production Processes to Reduce Energy Consumption

Project Manager Python Statistics Mathematical Optimization
Project Manager
  • Management and preprocessing of energy and production data 
  • Statistical analysis and modeling of time series process and energy data 
  • Identification of energy consumption improvement potentials to reduce total energy consumption 
  • Evaluation of different scenarios and assessment of cost-saving potential 
  • Development of user interface and dashboard for visualization of improvement potentials
Python Statistics Mathematical Optimization
Aviation Industry, Automotive Industry

Aus- und Weiterbildung

Aus- und Weiterbildung

5 Jahre 7 Monate
2018-01 - 2023-07

Studies Mechanical Engineering/ Sustainable Manufacturing

Dr-Ing. (Ph.D.), Technische Universität Braunschweig, Braunschweig (Germany)
Dr-Ing. (Ph.D.)
Technische Universität Braunschweig, Braunschweig (Germany)
Topic: on request
2 Jahre 1 Monat
2015-10 - 2017-10

Study - Industrial Engineering

Master of Science, Technische Universität Braunschweig, Braunschweig (Germany)
Master of Science
Technische Universität Braunschweig, Braunschweig (Germany)
  • Business informatics, Production & Logistics 
3 Jahre 9 Monate
2011-09 - 2015-05

Study - Industrial Engineering

Bachelor of Engineering, Ostfalia University of Applied Science, Wolfenbüttel (Germany)
Bachelor of Engineering
Ostfalia University of Applied Science, Wolfenbüttel (Germany)
Thesis: on request
6 Jahre 10 Monate
2004-08 - 2011-05

School Education

Abitur/ A-Levels, Gymnasium Isernhagen
Abitur/ A-Levels
Gymnasium Isernhagen
7 Monate
2009-01 - 2009-07

School Education

Canadian High School Diploma, St. James Collegiate Academy of Science and Technology, Winnipeg (Canada)
Canadian High School Diploma
St. James Collegiate Academy of Science and Technology, Winnipeg (Canada)

Position

Position

Data Science, Data Analysis, Solution Architect

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Künstliche Intelligenz Datenarchitektur Python SQL Künstliche Intelligenz Analytics Engineer MongoDB ETL Machine Learning Datenarchitektur

Produkte / Standards / Erfahrungen / Methoden

Profile

As a professional with over five years of experience in the automotive and manufacturing industry as a data scientist and project manager, I combine the latest research results in data science and machine learning, sustainable engineering, and project management skills with holistic thinking. I aim to use my interdisciplinary expertise with a high level of reliability and excellence to create innovative solutions. 


Data Acquisition & Management

  • Data Engineering 
    • Data Storage -  MySQL, MongoDB, PostgreSQL
    • Data Processing -  AWS, SQL, Excel, ?
    • Data Steaming - Kafka, PyFlow, ELK-Stack

Data Science
  • Data Analytics & Machine Learning
    • Python -  Pandas, Numpy
    • Machine Learning -  Scikit-learn, TensorFlow, Pandas, Keras, PyTorch
    • KNIME -  Excellent
    • Containerization - Docker
  • Visualizations, Preparation for Decision Contexts
    • Diagrams/ Charts -  Seaborn, Matplotlib, Plotly, ggplot2
    • Web Application -  Streamlit, Plotly
    • BI-Tools - PowerBI, SAP Analytics Cloud
  • Software Development & Project Management
    • Requirements Analysis - Workshops, Structured Interviews
    • Systems Analysis IT - UML, BPMN
    • Versioning - Github, Gitlab
    • Projekt Management - Asana, Confluence, Miro, SCRUM


WORK EXPERIENCE

10/2019 - today

Role: Data Scientist and Business Intelligence Engineer, Consultant


Tasks:

  • Helping organizations improve their processes and products through data analytics
  • Development of concepts and solution architectures for analytics platforms
  • Conducting data science projects and communicating the results to management
  • Definition and implementation of digitalization strategies for different customers
  • Product owner fuction in multi-disciplinary projects


01/2018 - 12/2022

Role: Team Lead and Research Engineer for Digitalization in Production and Logistics 

Customer: Technische Universität Braunschweig, Institute of Machine Tools and Production Technologies, Braunschweig (Germany)


Tasks:

  • Optimize manufacturing and logistic processes based on data science and analysis
  • Management of multiple data science consulting projects
  • Development of concepts and solution architectures and analytics platforms
  • Development of roadmaps for data science in production and logistics
  • Generation and communication of reporting


08/2015 - 12/2017

Role: Senior Project Manager 

Customer: Volkswagen AG, Production Planning, Wolfsburg (Germany)


Tasks:

  • Project management within the field of automotive production
  • Conducting feasibility studies
  • Business process modeling
  • Coordination and control of cross-company improvement processes


08/2011 - 07/2015

Role: Junior Project Manager (Internship as part of the dual studies program) 

Customer: Volkswagen AG, Production Planning, Wolfsburg (Germany)


Tasks:

  • Optimization of manufacturing processes
  • Conducting feasibility studies
  • Apprenticeship as an industrial engineer
  • Practical experience in the operational field of production and maintenance 

Branchen

Branchen

  • Automotive
  • Industry
  • Aviation
  • IT
  • Legal

Vertrauen Sie auf GULP

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Im Bereich Arbeitnehmerüberlassung / Personalvermittlung

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