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QABoahene/README.md

Adu Boahene Q. - Mechanical Engineer turned Data Professional

My Journey

I started my academic journey with a keen interest in engineeing and technology which led me to study BSc. Mechanical Engineering. I spent a year after my undergraduate degree as an Operations Engineer which introduced me to problem solving from a data perspective. Digging deeper, a Master's degree in Data Science made sense to me which led to my next step in my academic journey pursuing MSc. Data Science and Computational Intelligence (2019 - 2020).

Data Profession Journey

I started off my first data job as a Graduate Data Scientist (2020 - 2021). Skills and projects throughout this portion of my career and academics are reflected in the skills session below. Currently, I have transitioned into a Business Intelligence Engineering role (2021 - Present). I see this as an opportunity to build up my data skills to cover some BI background as well as utilising my data science skills in my position.

Welcome to my weird GitHub portfolio which somehow shows my journey into a data profession. Feedbacks appreciated!

Click on my profile to connect with me on LinkedIn.

Professional Skills

Programming Languages

  • Python
  • SQL
  • LookML (For Looker BI tool)
  • R Studio - Intermediate
  • MATLAB - Intermediate

Data Science Skills

  • Machine Learning
  • Deep Learning
  • Natural Langugae Processing
  • Computer Vision
  • Time Series Analysis
  • Data Visualisation and Communication
  • Database Management

Data & BI tools

  • Tableau
  • Looker
  • MATLAB
  • Snowflake
  • DBeaver
  • AWS Sagemaker
  • Databricks
  • Google Cloud Platform

GitHub Stats

QABoahene's github stats

Top Languages

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  1. spotify_themes_themify spotify_themes_themify Public

    Bringing zero-shot classification to Spotify listening history

    Python

  2. context_maturity context_maturity Public

    Text analysis of the lyrical context of artists discographies.

    Jupyter Notebook 1