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Achievement: Pull Sharkx2

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Achievement: Pull Sharkx2
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grittins/README.md
  • 👋 Hi, Rezwan here @grittins
  • 💻 Currently working for Uber Technologies, Inc as a Management Specialist
  • 📚 Bachelor's in Business Economics from University of Alberta & Data Analytics certification from University of Toronto
  • 👀 Interested in Data, Analytics & Insights, Sales and Consultation, Backend, Crypto space, Web3
  • 📫 How to reach me? rezoneferdous@gmail.com OR grittins1@gmail.com

Click here for Resume

LinkedIn

The profile avatar is created using DALL-E 2

💻 Tech Stack:

MySQL Postgres Python NumPy Pandas Plotly R JavaScript CSS3 HTML5 AWS MongoDB Anaconda Bootstrap Flask scikit-learn SciPy TensorFlow Jira

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  1. Pewlett-Hackard-Analysis Pewlett-Hackard-Analysis Public

    PostgreSQL used to create schema for 6 tables and queries are called to get the required data. Design an ERD that will apply to the data. Create and use a SQL database. Import and export large CSV …

    1

  2. Weather_Google_Maps_API Weather_Google_Maps_API Public

    Using Google Maps API for vacation search and itinerary. Retrieve and use data from an API "get" request to a server. Use try and except blocks to resolve errors. Write Python functions. Create sca…

    Jupyter Notebook 1

  3. Tableau-Bike-Sharing-Analysis Tableau-Bike-Sharing-Analysis Public

    The visualizations are created by analyzing Citi Bike-Sharing in NYC. Import data into Tableau. Create and style worksheets, dashboards, and stories in Tableau. Use Tableau worksheets to display da…

    Jupyter Notebook 1

  4. School_District_Analysis School_District_Analysis Public

    Using Pandas library to clean csv files and create metrics (average scores, passing percentage, top 5 schools)

    Jupyter Notebook 1

  5. PyBer_Analysis PyBer_Analysis Public

    Python and knowledge of Pandas is used to create a summary DataFrame of the ride-sharing data by city type. Then, using Pandas and Matplotlib, a multiple-line graph is drawn that shows the total we…

    Jupyter Notebook 1

  6. Toronto-Housing-Market Toronto-Housing-Market Public

    Using datasets capturing Toronto House Prices (2001-2022), Canada Recession Indicator, Mortgages Rates, Inflation Rates, we built a ML model to predict the prices for the next year. Once the data h…

    Python 4