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sg-tarek/README.md

Data scientist with a background in economy and finance. My path from traditional finance books to heavy machine learning tools has not been conventional but has left me with a strong desire to analyze and present data to uncover and demystify the field of Artificial Intelligence.

Languages and Frameworks I know and study

• Data Engineering (BigQuery, Dataflow, CI/CD)

• Software Engineering (HTML, CSS, JS, and Bootstrap)

• Machine Learning (supervised/unsupervised)

• Time Series Analysis (ARIMA)

• Python (Numpy, Pandas, Sklearn, Keras, Flask)

• NLP (Word2Vec, TF-IDF, BERT, GloVe, GPT, etc.)

• Cloud (GCP, Heroku, Docker, Kubernetes)

• SQL (SQLite, T-SQL, Vertica, PostgreSQL)

📫 You can reach me at: ta.ghanoum@gmail.com

📃 My Resume

Education

  • 📖 MSc(Econ.) in Applied Economics and Finance
    📆 2019 - 2021
    📍 Copenhagen Business School - Copenhagen, Denmark

  • 📖 BSc in Business Administration and Management
    📆 2016 - 2019
    📍 Copenhagen Business School - Copenhagen, Denmark

  • 📖 Sergeant
    📆 2013 - 2014
    📍 Royal Danish Army - Copenhagen, Denmark

Experience

  • 👨‍💻 Data Scientist
    📆 2021 -
    📍 *Deloitte - Copenhagen, Denmark

  • 👨‍💻 Data Analyst
    📆 2019 - 2021
    📍 *Danish Agency for Labour Market and Recruitment - Copenhagen, Denmark

  • 👨‍💻 Instructor in statistics
    📆 2017 - 2021
    📍 *Copenhagen Business School - Copenhagen, Denmark

Pinned

  1. BASATA BASATA Public

    An open-source AutoML tool with a proven record in Kaggle competitions. A must-have in every Data Scientists toolbox.

    Python

  2. Python Python Public

    The repo contains different data science tools in a broad spectrum.

    Jupyter Notebook 3 2

  3. Cloud-Computing Cloud-Computing Public

    My journey in the Cloud world as a Cloud Engineer.

    HTML

  4. C C Public

    All my programs from the course CS50 are posted in this repo (Introduction to Computer Science at Harvard University).

  5. SQL SQL Public

    All my programs from the course CS50 are posted in this repo (Introduction to Computer Science at Harvard University).

  6. HTML-CSS-and-JavaScript HTML-CSS-and-JavaScript Public

    Personal projects and programs from the course CS50 are posted in this repo (Introduction to Computer Science at Harvard University).

    HTML