Hi, I'm a Data Scientist and ML-Engineer to enable performant, robust and scalable machine-learning solutions in Azure!
Aktualisiert am 24.04.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 24.04.2024
Verfügbar zu: 100%
davon vor Ort: 20%
Python
Azure
Machine Learning
Künstliche Intelligenz
Generative AI
Langchain
Git
MLOps
Kubernetes
Docker
Deep Learning
Amazon Sagemaker
Agile Softwareentwicklung
DevOps
Computer Vision
NLP
Personalverantwortung
Unittest
German
Muttersprache
English
Verhandlungssicher

Einsatzorte

Einsatzorte

Deutschland, Österreich
möglich

Projekte

Projekte

4 Monate
2024-01 - heute

Copilot App (Android)

  • Development of a generative AI app that helps the customers with rules and operating instructions by reading them, understanding and answering questions about them
  • Price estimator for self-regulation of damages
    • Showcase Insurance, Language: German
    • Based on a previous project, this showcase was set up to model the policyholder's self-regulation process and create a price estimator for damaged devices using web and inventory data
  • Customer Journey on a Website
    • Showcase Marketing, Language: German
    • Tracking the customer journey of a website via Google Cloud and preparing the data insights for the marketing team using a C# plugin for Microsoft Excel
  • Automatic Email Response
    • Showcase for a Webinar
    • Created an automatic email with different responses based on the sentiment of the context
  • Azure Cognitive Services
    • Showcase BI
    • Showcase for BI-Collegues what Azure Cognitive Services can do out-of-the-box
  • Reinforcement Learning with Tic-Tac-Toe
    • Showcase + Presentation for Management
    • Showcase of a tool that plays tic-tac-toe with you and becomes better the more you play against it
Generative AI Vectorstores Python (flake8; pytest; pandas; numpy; openai; langchain) App Development with Kivy Google Ads Google Playstore github R C# git Azure Cognitive Services Rest-API Python (numpy; pandas; Scikit-learn; nltk) scikit-learn matplotlib plotly Kubernetes Docker Google Cloud Google Analytics Python AWS Amazon Sagemaker
1 Jahr
2023-01 - 2023-12

Predictive Maintenance Product

Data-Science-Component-Lead
Data-Science-Component-Lead
  • Management of a team of 5 data scientists for the agile development of a product for predicting maintenance intervals for high-heat furnaces
Scrum Kanban Microsoft Azure (DevOps; Azure-ML; CI-CD-Pipelines) Python (flake8 pytest pandas numpy scikit-learn mlflow tensorflow matplotlib plotly) git Image-processing from normal and thermal cameras Timeseries Prediction Kubernetes Docker
global refractory leader
1 Jahr 8 Monate
2021-03 - 2022-10

Predictive Maintenance Product

Senior Data Scientist
Senior Data Scientist

  • Implemented a MLOps workflow with Azure ML, model registry, Azure ML pipelines and CI-CD pipelines via Docker and Kubernetes to enable automatic retraining for the AI-product
  • Optimization of training concepts including data preparation and feature engineering for a product for predicting maintenance intervals for high heat furnaces 

  • Introduced unit and end-to-end tests to the data science codebase to increase the robustness of the AI-product for predicting maintenance intervals for high heat furnaces

Microsoft Azure (DevOps; Azure-ML; CI-CD-Pipelines) Python (flake8; pytest; pandas; numpy; scikit-learn; mlflow; tensorflow; matplotlib; plotly) git Image-processing from normal and thermal cameras Timeseries Prediction Kubernetes Docker
global refractory leader
9 Monate
2020-06 - 2021-02

Risk-Management-System

  • Development of risk management software in KNIME and Python for evaluating and controlling price, quantity and currency risks based on Monte Carlo simulation
Knime Monte-Carlo-Simulation Python (flake8; pandas; numpy; scikit-learn; scipy; matplotlib; plotly) git
Wood Industry
6 Monate
2020-01 - 2020-06

Prediction of air pollution

  • Implementation of algorithms to predict air pollution for a public authority and reimplementing parts from fortran code
R Python (flake8; pandas; numpy; scikit-learn; matplotlib; plotly) git
Public office
5 Monate
2019-08 - 2019-12

Forecast of distribution contributions

  • Analysis and machine-learning-forecast of the distribution amounts from members of a collecting society increasing planning security during the year
Python (flake8; pandas; numpy; scikit-learn; matplotlib; plotly) Docker git
collecting society
5 Monate
2019-06 - 2019-10

Prediction of campaign quality

  • Development of a statistical key figure to determine the campaign quality and using it for an AI for the planning of campaigns
R Python (flake8; pandas; numpy; scikit-learn; matplotlib; plotly) git
Tourism
7 Monate
2018-11 - 2019-05

Document Recognition

  • Automating the categorization of incoming document-pages using computer vision with CNN and YOLO
Python (flake8; pandas; numpy; scikit-learn; tensorflow; keras; matplotlib; plotly; pyspark) Computer VisionCNN YOLO Apache Hadoop Apache Hadoop Hive Apache Zeppelin git
Insurance
10 Monate
2018-03 - 2018-12

Price estimator for self-regulation of damages

  • Modeling the policyholder's self-regulation process and creating a price estimator for damaged devices using web data
Python (flake8; pandas; numpy; scikit-learn; tensorflow; keras; matplotlib; plotly; pyspark) Apache Hadoop Apache Hadoop Hive Apache Zeppelin git
Insurance
11 Monate
2018-02 - 2018-12

Next-Best-Offer for credit-suggestion

  • Development of an intelligent next-best-offer system for an optimal loan offer to customers of a credit company
SAS R Citrix C# git
Finance

Aus- und Weiterbildung

Aus- und Weiterbildung

4 Jahre 3 Monate
2013-10 - 2017-12

Master of Science in Statistics with focus on economics and social sciences

Ludwig-Maximilians-University, Munich
Ludwig-Maximilians-University, Munich
  • Computationally intensive Methods, Machine Learning, Deep Learning
  • Thesis on request
3 Jahre 6 Monate
2009-10 - 2013-03

Bachelor in Statistics with specialization in Computer Science

Ludwig-Maximilians-University, Munich
Ludwig-Maximilians-University, Munich
  • Machine Learning, Object Oriented Programming
  • Thesis on request

Kompetenzen

Kompetenzen

Top-Skills

Python Azure Machine Learning Künstliche Intelligenz Generative AI Langchain Git MLOps Kubernetes Docker Deep Learning Amazon Sagemaker Agile Softwareentwicklung DevOps Computer Vision NLP Personalverantwortung Unittest

Produkte / Standards / Erfahrungen / Methoden

Professional skills:
  • Management of Data-Science-Teams (1 + years)
  • Machine Learning, Deep Learning, Computer Vision with Python (6 + years and studies)
  • GenAI, NLP with Python (2 + years)
  • Agile software development (6 + years)
  • ML-Ops on Azure, AWS and GCP (4 + years)
  • Teaching Data-Science (Coding Workshops, Courses) (4 + years)


Supporting Skills:
  • Software-Development with Java, C#, PHP, Bash-Scripting (6 + years)
  • Unit- and E2E-testing (3 + years)


Professional Career:

09/2023 ? heute

Rolle: Data Science Senior Consultant

Kunde: Nelo Intelligence


10/2022 ? 08/2023

Rolle: Senior Data Scientist

Kunde: Capgemini


01/2021 ? 09/2022

Rolle: Senior Data Scientist

Kunde: Braincourt ? Part of Capgemini


06/2019 ? 12/2020

Rolle: Data Scientist

Kunde: Braincourt ? Part of Capgemini


01/2018 ? 05/2019

Rolle: Junior Consultant Data Science

Kunde: SPECTRUM AG

Einsatzorte

Einsatzorte

Deutschland, Österreich
möglich

Projekte

Projekte

4 Monate
2024-01 - heute

Copilot App (Android)

  • Development of a generative AI app that helps the customers with rules and operating instructions by reading them, understanding and answering questions about them
  • Price estimator for self-regulation of damages
    • Showcase Insurance, Language: German
    • Based on a previous project, this showcase was set up to model the policyholder's self-regulation process and create a price estimator for damaged devices using web and inventory data
  • Customer Journey on a Website
    • Showcase Marketing, Language: German
    • Tracking the customer journey of a website via Google Cloud and preparing the data insights for the marketing team using a C# plugin for Microsoft Excel
  • Automatic Email Response
    • Showcase for a Webinar
    • Created an automatic email with different responses based on the sentiment of the context
  • Azure Cognitive Services
    • Showcase BI
    • Showcase for BI-Collegues what Azure Cognitive Services can do out-of-the-box
  • Reinforcement Learning with Tic-Tac-Toe
    • Showcase + Presentation for Management
    • Showcase of a tool that plays tic-tac-toe with you and becomes better the more you play against it
Generative AI Vectorstores Python (flake8; pytest; pandas; numpy; openai; langchain) App Development with Kivy Google Ads Google Playstore github R C# git Azure Cognitive Services Rest-API Python (numpy; pandas; Scikit-learn; nltk) scikit-learn matplotlib plotly Kubernetes Docker Google Cloud Google Analytics Python AWS Amazon Sagemaker
1 Jahr
2023-01 - 2023-12

Predictive Maintenance Product

Data-Science-Component-Lead
Data-Science-Component-Lead
  • Management of a team of 5 data scientists for the agile development of a product for predicting maintenance intervals for high-heat furnaces
Scrum Kanban Microsoft Azure (DevOps; Azure-ML; CI-CD-Pipelines) Python (flake8 pytest pandas numpy scikit-learn mlflow tensorflow matplotlib plotly) git Image-processing from normal and thermal cameras Timeseries Prediction Kubernetes Docker
global refractory leader
1 Jahr 8 Monate
2021-03 - 2022-10

Predictive Maintenance Product

Senior Data Scientist
Senior Data Scientist

  • Implemented a MLOps workflow with Azure ML, model registry, Azure ML pipelines and CI-CD pipelines via Docker and Kubernetes to enable automatic retraining for the AI-product
  • Optimization of training concepts including data preparation and feature engineering for a product for predicting maintenance intervals for high heat furnaces 

  • Introduced unit and end-to-end tests to the data science codebase to increase the robustness of the AI-product for predicting maintenance intervals for high heat furnaces

Microsoft Azure (DevOps; Azure-ML; CI-CD-Pipelines) Python (flake8; pytest; pandas; numpy; scikit-learn; mlflow; tensorflow; matplotlib; plotly) git Image-processing from normal and thermal cameras Timeseries Prediction Kubernetes Docker
global refractory leader
9 Monate
2020-06 - 2021-02

Risk-Management-System

  • Development of risk management software in KNIME and Python for evaluating and controlling price, quantity and currency risks based on Monte Carlo simulation
Knime Monte-Carlo-Simulation Python (flake8; pandas; numpy; scikit-learn; scipy; matplotlib; plotly) git
Wood Industry
6 Monate
2020-01 - 2020-06

Prediction of air pollution

  • Implementation of algorithms to predict air pollution for a public authority and reimplementing parts from fortran code
R Python (flake8; pandas; numpy; scikit-learn; matplotlib; plotly) git
Public office
5 Monate
2019-08 - 2019-12

Forecast of distribution contributions

  • Analysis and machine-learning-forecast of the distribution amounts from members of a collecting society increasing planning security during the year
Python (flake8; pandas; numpy; scikit-learn; matplotlib; plotly) Docker git
collecting society
5 Monate
2019-06 - 2019-10

Prediction of campaign quality

  • Development of a statistical key figure to determine the campaign quality and using it for an AI for the planning of campaigns
R Python (flake8; pandas; numpy; scikit-learn; matplotlib; plotly) git
Tourism
7 Monate
2018-11 - 2019-05

Document Recognition

  • Automating the categorization of incoming document-pages using computer vision with CNN and YOLO
Python (flake8; pandas; numpy; scikit-learn; tensorflow; keras; matplotlib; plotly; pyspark) Computer VisionCNN YOLO Apache Hadoop Apache Hadoop Hive Apache Zeppelin git
Insurance
10 Monate
2018-03 - 2018-12

Price estimator for self-regulation of damages

  • Modeling the policyholder's self-regulation process and creating a price estimator for damaged devices using web data
Python (flake8; pandas; numpy; scikit-learn; tensorflow; keras; matplotlib; plotly; pyspark) Apache Hadoop Apache Hadoop Hive Apache Zeppelin git
Insurance
11 Monate
2018-02 - 2018-12

Next-Best-Offer for credit-suggestion

  • Development of an intelligent next-best-offer system for an optimal loan offer to customers of a credit company
SAS R Citrix C# git
Finance

Aus- und Weiterbildung

Aus- und Weiterbildung

4 Jahre 3 Monate
2013-10 - 2017-12

Master of Science in Statistics with focus on economics and social sciences

Ludwig-Maximilians-University, Munich
Ludwig-Maximilians-University, Munich
  • Computationally intensive Methods, Machine Learning, Deep Learning
  • Thesis on request
3 Jahre 6 Monate
2009-10 - 2013-03

Bachelor in Statistics with specialization in Computer Science

Ludwig-Maximilians-University, Munich
Ludwig-Maximilians-University, Munich
  • Machine Learning, Object Oriented Programming
  • Thesis on request

Kompetenzen

Kompetenzen

Top-Skills

Python Azure Machine Learning Künstliche Intelligenz Generative AI Langchain Git MLOps Kubernetes Docker Deep Learning Amazon Sagemaker Agile Softwareentwicklung DevOps Computer Vision NLP Personalverantwortung Unittest

Produkte / Standards / Erfahrungen / Methoden

Professional skills:
  • Management of Data-Science-Teams (1 + years)
  • Machine Learning, Deep Learning, Computer Vision with Python (6 + years and studies)
  • GenAI, NLP with Python (2 + years)
  • Agile software development (6 + years)
  • ML-Ops on Azure, AWS and GCP (4 + years)
  • Teaching Data-Science (Coding Workshops, Courses) (4 + years)


Supporting Skills:
  • Software-Development with Java, C#, PHP, Bash-Scripting (6 + years)
  • Unit- and E2E-testing (3 + years)


Professional Career:

09/2023 ? heute

Rolle: Data Science Senior Consultant

Kunde: Nelo Intelligence


10/2022 ? 08/2023

Rolle: Senior Data Scientist

Kunde: Capgemini


01/2021 ? 09/2022

Rolle: Senior Data Scientist

Kunde: Braincourt ? Part of Capgemini


06/2019 ? 12/2020

Rolle: Data Scientist

Kunde: Braincourt ? Part of Capgemini


01/2018 ? 05/2019

Rolle: Junior Consultant Data Science

Kunde: SPECTRUM AG

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