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DominikWunderlich/README.md

👋 Hi, I'm Dominik!

📚 Business Informatics Enthusiast
I'm currently pursuing a Bachelor's degree in Business Informatics at the University of Media in Stuttgart, with an expected graduation in July 2025. I thrive at the intersection of business and IT, leveraging my skills to create efficient, scalable, and impactful technological solutions.

💻 Tech Stack Highlights

  • Languages: Python (most experienced), JavaScript, C++, and some Swift.
  • Frameworks: Flask, React, Conan and Tart (virtualization for CI/CD).
  • Tooling: Groovy for automation scripting and good experience with Conan for dependency management.
  • APIs: Proficient with the Amazon SP API for e-commerce integrations.
  • Machine Learning: Moderate experience, including building models for emotion detection, fall detection, and wine quality prediction (using the SciKit dataset).

🚀 Notable Projects

  • Conan Dependency Management: Ensuring efficient builds and seamless dependency management for C/C++ projects. Mainly worked on transition recipes from Conan 1.x to Conan 2.x.
  • Dating Site Web Application: Development of a dynamic web app leveraging Python (Flask), Flask-Restx for APIs, React for the front end, and MySQL for backend storage.
  • Amazon Reviews Request Automation: Developing an innovative tool to automate review requests using Amazon SP API, optimizing sellers’ workflows.
  • Shopify-Amazon Plugin Integration: Currently building a software plugin to synchronize reviews from Amazon listings to Shopify stores, enhancing e-commerce experiences.
  • Machine Learning Models:
    • Emotion Detection: Developed a real-time model to detect facial expressions using a camera.
    • Fall Detection: Built a model to identify if a person is falling, standing, or lying down.
    • Wine Quality Prediction: Utilized the SciKit dataset to predict wine quality with machine learning algorithms.

🌟 Additional Skills and Experience

  • Hands-on experience with Tart virtualization for streamlining CI/CD pipelines, integrating Bitbucket, Jenkins, and Artifactory.
  • Moderate exposure to Swift, showcasing versatility in adapting to new technologies.
  • Passionate about clean, efficient code and continuously seeking optimization opportunities in software development.

🌐 Let’s Connect!
Feel free to connect with me on LinkedIn or check out my repositories for more insights into my work.

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  1. DataScienceProject-WineQuality DataScienceProject-WineQuality Public

    A Datascience Study Project

    Jupyter Notebook

  2. jdk-webscraper-amazon jdk-webscraper-amazon Public

    Python