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mohamedziane/README.md

Main Areas of Interest

  • Data engineering with 10+ years of experience.
  • Cloud Engineering, ETL, Python, PySpark
  • Azure, AWS, GCP
  • Solutions Architecture
  • Data Science

𝗦ummary Of Projects:

  • Create multiple advanced time series models using ARIMA/SARIMA for forecasting. Projects details here.

  • Perform frequentist statistical inference using python by utilizing many statistical concepts: probability distributions, estimation techniques, central limit theorem, confidence intervals, hypothesis testing (z-statistic, t-statistic, p-value). Projects details here.

  • Build Movies recommendation Engines using Tensorflow Recommenders (TFRS- Google/YouTube Hybrid based recommender). Projects details here.

  • Design, built and fine tune multiple supervised Classification models (Binary and multiple classifiers): Linear, logistic, Decision Tree, Random Forest, SVM and XGBoost. Project details here and here.

  • Create multiple clustering models using unsupervised Machine Learning: K-means. Projects detail here.

  • Manipulate and transform big data using MySQL, PostgreSQL, Python (sqlalchemy library) and SQLite. Project details here.

  • Utilize advanced Visualization skills to extract insights using: Matplotlib, seaborn, and Plotly. Projects detail here.

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  • Constant Learner: Currently focused on ETL cloud engineering with Big Data.
  • Primary Language: PySpark, Python (NumPy, Pandas, scikit-learn, TensorFlow, keras, Scrapy, BeautifulSoup, requests, etc.).
  • Data Visualizations: Tableau, looker, Matplotlib, seaborn, Streamlit and Plotly.
  • Cloud Certified: AWS & Azure
  • Business Intelligence Tools: business object, AWS SageMaker, AWS EC2, Streamlit, Jupyter/Anaconda, GitHub/Git, Microsoft Excel, Microsoft Power Point and PowerBI.
  • Effective verbal and written communication for technical and non-technical audiences.
  • Passionate about working with big data and the ability to translate insights into business recommendations.
  • Outstanding problem solving and analytical skills.
  • Strong attention to detail, and excellent organization skills.

I’d love to chat further, please feel free to reach me:

Pinned Loading

  1. Climate-Change-in-Kenya Climate-Change-in-Kenya Public

    Investigating the relationship between energy & mining consumption in Kenya and how it affects climate change.

    Jupyter Notebook 1

  2. London-Housing-Prices-by-Borough-1998-to-2018- London-Housing-Prices-by-Borough-1998-to-2018- Public

    Jupyter Notebook 1

  3. Movie-Recommendation-System-TensorflowRS Movie-Recommendation-System-TensorflowRS Public

    Jupyter Notebook 1

  4. Time-Series-Forecasting-ARIMA-SARIMA-MODELS Time-Series-Forecasting-ARIMA-SARIMA-MODELS Public

    Jupyter Notebook 1

  5. Predicting-the-status-of-Covid-19-patients-using-the-Random-Forests-Approach Predicting-the-status-of-Covid-19-patients-using-the-Random-Forests-Approach Public

    Predicting the status of Covid-19 patients using the Random Forests Approach

    Jupyter Notebook 1

  6. Specialty-Coffee-Case-Study-using-the-Decision-Tree-Approach Specialty-Coffee-Case-Study-using-the-Decision-Tree-Approach Public

    Specialty Coffee Case Study using the Decision Tree Approach

    Jupyter Notebook 1