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zelharairi/README.md

Welcome to My Portfolio

Introduction

Hi! I'm Ziad, a passionate Data Anlayst/Scientist graduate with a keen interest in digital analytics and AI applications. I graduated with masters degree in Business Analytics and Big Data and actively seeking opportunities to apply my skills in real-world projects. This portfolio showcases some of the work I’ve done in data analysis, visualization, and predictive modeling.

Skills

  • Data Analysis & Visualization: Power BI, Tableau, Microsoft Excel
  • Programming Languages: Python, Java, C++
  • Databases: MySQL, PostgreSQL, Clickhouse
  • Machine Learning: Scikit-Learn, TensorFlow, Keras
  • Other Tools: Git, Jupyter Notebooks, APIs
  • Cloud Platforms: Azure

Projects

1. Analysis of used cars market in the US

  • Description: analyzes a dataset of used car prices in the United States from 2000 to 2023. It utilizes various data processing techniques to explore trends and patterns in the data. The primary focus is on understanding how different factors such as manufacturing year, car brand, color, and mileage influence the price and accident rate of used cars.
  • Tools Used: Data Bricks, SQL, Azure, Python
  • Key Features: Interactive visualizations, data analysis

2. Leveraging Machine Learning for Prediction Customer Satisfaction

  • Description: Implemented a predictive model to forecast customer satisfaction.
  • Tools Used: Python, Scikit-Learn, Pandas
  • Key Features: Data preprocessing, feature engineering, model evaluation

3. Times Series Analysis for Financial Data

  • Description: Time-Series analysis and forecasting of data.
  • Tools Used: Gretl
  • Key Features: Time-Series analysis, forecasting

4. Coffee-Bean-Analysis-using-Regression

  • Description: Regression model for analyzing coffee in the US.
  • Tools Used: Python, numpy
  • Key Features: regression, exploratory data analysis

Contact

Feel free to reach out to me for any collaborations, questions, or opportunities:

Acknowledgments

  • Thanks to all my mentors and peers who have supported me in my learning journey.

Popular repositories Loading

  1. Analysis-of-used-cars-market-in-the-US Analysis-of-used-cars-market-in-the-US Public

    PySpark data analysis project for analyzing used cars market in the US

    Jupyter Notebook

  2. Leveraging-Machine-Learning-for-Predicting-Customer-Satisfaction Leveraging-Machine-Learning-for-Predicting-Customer-Satisfaction Public

    Model for predicting customer satisfaction

    Jupyter Notebook

  3. Times-Series-Analysis-for-Financial-Data-using-Gretl Times-Series-Analysis-for-Financial-Data-using-Gretl Public

    Time series analysis and forecasting using Gretel

  4. Coffee-Bean-Analysis-using-Regression Coffee-Bean-Analysis-using-Regression Public

    Regression for Coffee dataset in the US market using R and Python

    Jupyter Notebook

  5. Municipality-5-of-Milan-Analysis-and-Data-Visualization Municipality-5-of-Milan-Analysis-and-Data-Visualization Public

    Using tableau and data visualization techniques for analyzing rent in Municipality 5 in Milan

  6. RDFa-and-SPARQL-Analysis-of-Books-on-Amazon RDFa-and-SPARQL-Analysis-of-Books-on-Amazon Public

    Jupyter Notebook