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mdabbous88/Readme.md

Hi, I am Mohammad

• I am a Husband, Father 👨‍👩‍👧 and a Data Engineer 🧑‍💻

• I am currently learning everything 📙🔥

Tools and languages

• Python, Pandas, SQL, Spark, Machine learning, JavaScript, CSS, Tableau, matplotlib and plotly.

Databases

• PostgresSQL, MongoDB

Connect with me

LinkedIn

Personal Profile

✉️ m.dabbous88@gmail.com

OR scan code with QR scanner

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  1. Amazon_Vine_Analysis Amazon_Vine_Analysis Public

    Analyze a data set from the Amazon Vine program to determine if there is any bias toward favorable reviews from Vine members in your dataset.

    Jupyter Notebook 1

  2. Credit_Risk_Analysis Credit_Risk_Analysis Public

    Assess credit risk of applicants using supervised machine learning. Several different machine learning techniques such as SMOTE, SMOTEENN, RANDOM FOREST, EASY ENSEMBLE were applied, the models were…

    Jupyter Notebook 1

  3. Cryptocurrencies Cryptocurrencies Public

    A prominent investment bank, is interested in offering a new cryptocurrency investment portfolio for its customers, but due to the large number exisiting cryptocurrencies, some work must be done to…

    Jupyter Notebook 1

  4. Improbable-Beef Improbable-Beef Public

    This project aims at analyzing data from many volunteers to identify the top 10 bacterial species in their belly buttons. These bacteria will help Improbable-Beef in manufacturing synthetic beef.

    JavaScript

  5. Machine-Learning-Investment Machine-Learning-Investment Public

    Scraping data sets from Yahoo Finance API using Python and Pandas, applying machine learning techniques to predict and visualize stock prices.

    Jupyter Notebook 1 1

  6. Pewlett-Hackard-Analysis. Pewlett-Hackard-Analysis. Public

    Utilizing Postgres SQL to help Pewlett Hackard to realize how many employees will be retiring this year and categorizing them by their title, as well as count the number of employees who qualify to…