Skip to content
View welde-data's full-sized avatar
10 followers · 18 following

Achievements

Achievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: Quickdraw

Highlights

  • Pro

Block or report welde-data

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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
welde-data/README.md

Hi, I'm Welederufeal 👋

Electrical Engineer and former Marine ETO, now transitioning into Data and Analytics Engineering. My background in complex systems, fault diagnosis, and critical problem-solving at sea and in industrial environments shapes how I approach data — with precision and reliability in mind. Currently building with Python, SQL, and ETL.

🛠 Tech Stack

🔹 Languages

Python SQL

🔹 Data Engineering & Cloud

Apache Spark Databricks Delta Lake Apache Airflow Docker Azure Linux

🔹 Machine Learning (Learning)

Spark MLlib Scikit-learn

🔹 Analytics & BI

Power BI

📫 Connect

LinkedIn

Pinned Loading

  1. immo-eliza-airflow-orchestrated immo-eliza-airflow-orchestrated Public

    An Airflow-orchestrated web scraper for Belgian real estate data on Immovlan

    Python 2 1

  2. immo-eliza-scraping immo-eliza-scraping Public

    A machine learning model to make price predictions on real estate sales in Belgium.

    Jupyter Notebook 1

  3. bias-detection-llm bias-detection-llm Public

    Jupyter Notebook

  4. challenge-azure challenge-azure Public

    Python

  5. immo-eliza-deployment-v2 immo-eliza-deployment-v2 Public

    Python

  6. immo-eliza-ml immo-eliza-ml Public

    Practical workflow for preparing data, training linear and advanced regression models, evaluating performance, and optionally applying cross-validation and hyperparameter tuning

    Jupyter Notebook