Skip to content
View dullibri's full-sized avatar

Block or report dullibri

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
dullibri/README.md

Hi 👋, ich bin Dirk

Data Engineer mit Data Science Hintergrund aus Deutschland

🔭 Woran ich aktuell arbeite

  • Wartung und Erweiterung eines Snowflake-Datawarehouses mit Medallion-Architektur
  • Hauptwerkzeuge: dbt, Airflow und Databricks
  • AWS-Umgebung mit CI/CD-Framework auf Bitbucket
  • Lerne Flutter für Mobile App Entwicklung
  • Rechtliche Einordnung von Zahlungsgarantien mit AWS Bedrock und Claude (Prompt Engineering)

🌱 Was ich gerade lerne

  • Flutter für Cross-Platform App-Entwicklung
  • Fortgeschrittenes Prompt Engineering mit Large Language Models

💼 Berufserfahrung

  • Data Engineer mit Fokus auf Cloud-Datenarchitekturen
  • Hintergrund in Data Science und maschinellem Lernen

🛠 Technologien & Tools

AWS Databricks Python Snowflake dbt Airflow Docker Git Flask MySQL TensorFlow scikit-learn Flutter

📫 Kontakt

LinkedIn Twitter

📊 GitHub Statistiken

Dirks GitHub Statistiken

Pinned Loading

  1. pump_sensor pump_sensor Public

    Predicting really rare positives - a notebook on the pump_sensor data from kaggle. Including both simple indicator based approaches as well as machine learning.

    HTML 1 1

  2. titanic titanic Public

    The classical data science intro with Kaggle's titanic data set is used to illustrate a simple but entire data science life-cycle including model optimization, train-test-split, eda and cleaning.

    Jupyter Notebook 2

  3. Understanding_AfD_electoral_success Understanding_AfD_electoral_success Public

    A data set and an AI analysis of the electoral success of Germany's right wing party AfD including a Random Forest based machine learning approach.

    Jupyter Notebook 3 3

  4. DaxRendite DaxRendite Public

    App for illustration of yields of regular investment in German DAX

    R

  5. zeit-2 zeit-2 Public

    Analysis of web-scrapped news articles of DIE ZEIT. Construction of a sentiment indicator out of the articles and employment in a state-of-the-art economic prediction set-up demonstrating its usefu…

    R 1

  6. immo_bee immo_bee Public

    Scrape housing data from German housing portal Immowelt.de and retrieve as comma separted file.

    Jupyter Notebook 1