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Abdulkadir²

Passionate about data engineering.

About me

  • Self taught data science/analyst/engineer.
  • Data analysis experience.
  • MEng Mechanical Engineering Graduate 2021.

My Skills

  • Python (Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Beautifulsoup, Selenium, Streamlit).
  • SQL (TSQL, Data Warehouse, Data Architecture, ETL).
  • Data Visualization (PowerBI, Tableau).
  • Azure Fundamentals AZ-900, Storage, Synpase Analytics, Data Lakes, VM, ML Studio, AKS, ACR.
  • Terraform.
  • Docker Containers.
  • Kubernetes
  • Linux.
  • Git.
  • Apache Airflow and Spark.
  • Jenkins.
  • HTML/CSS.
  • React and Django beginner.
  • APIs
  • Unit Testing

CV Portfolio Projects

These are the projects that I have put on my CV. You can check them out by clicking on the links or by checking out my portfolio website, which summarises all the projects.

DevOps:

Data:

Complete Data Portfolio

Post

Additional skills

Cloud:

  • Azure DevOps
  • Azure Web App and Blob Storage Web Hosting
  • AWS S3

Data:

  • Databricks
  • Data Modelling

General:

  • TDD

Abdulkadir's Projects

automatedbookproblems icon automatedbookproblems

These are the solutions to the problems done from the book Automate the boring stuff with python

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

coviddataanalysis icon coviddataanalysis

Using SQL and Tableau to analyse COVID Data. The data ranges from the beginning until the date of this projection completion i.e. 14/03/2022

cs50-harvardcourse icon cs50-harvardcourse

This was my first step into programming, the first programming course I took which introduced me into programming.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

markdown_readme icon markdown_readme

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

netflixdata icon netflixdata

Some data analysis practice on a Netflix dataset using SQL for data analysis and Tableau for data visualisation

streamify icon streamify

A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

webscraping icon webscraping

Webscraping websites using Selenium, Beautifulsoup. Putting it into a dataframe using Pandass and then creating a csv or connecting to SQL database.

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