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Ratafar22/README.md

Hi there welcome to my GitHub page👋

My name is Rukayat Rauf

  • 🔭 I’m a self-taught Data Analyst proficient in Excel, Power BI/Tableau, SQL, Python, R, and Google Sheets
  • 🌱 I’m upskilling my Data Analytics skills
  • 👯 I’m looking for Data Analytics and Business Intelligence roles (Internship, Freelancing, Remote and Permanent roles)
  • 💬 Let's discuss data
  • 📫 How to reach me: Twitter and LinkedIn
  • 💻 Portfolio website: (https://ratafar22.github.io/Rukayat.github.io/)
  • ⚡ Fun fact: I love playing Table Tennis 😄

🌐 Socials:

LinkedIn Medium Twitter

💻 Tech Stack:

Python R MySQL Postgres MicrosoftSQLServer Pandas NumPy SQLite

Other Tech Stack:

  • Microsoft Excel
  • Power BI
  • Tableau
  • Bigquery
  • Snowflake

📊 GitHub Stats:



🔝 Top Contributed Repo

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  1. Call-Centre-Performance-Analysis Call-Centre-Performance-Analysis Public

    This analysis measures the performance of a call centre and assessed the satisfactions and sentiments of customers.

    1

  2. The-Chinook-Digital-Music-Store-Database The-Chinook-Digital-Music-Store-Database Public

    I queried the Chinook Music Database to help the company understand the media in their store, their customers and employees, and their invoice information. I used SQLite and Power BI for this project

    2 1

  3. Financial-Analysis-of-New-York-Stock-Exchange-Data Financial-Analysis-of-New-York-Stock-Exchange-Data Public

    This repository contains the Financial Analysis of the S&P 500 companies. I used Excel to carry out this project

  4. Importing-Data-into-MySQL Importing-Data-into-MySQL Public

    This repository contains comprehensive guide on how to import CSV files into MySQL workbench.

    1

  5. SQL-Analysis-of-Parch-and-Posey SQL-Analysis-of-Parch-and-Posey Public

    This notebook contains analysis of Parch and Posey paper company data using MySQL and PostgreSQL

    Jupyter Notebook 1 2

  6. Tuberculosis-Disease-Analysis Tuberculosis-Disease-Analysis Public

    I analysed the spread of tuberculosis disease among the WHO countries from 2000 to 2020. I used Python and Power BI

    Jupyter Notebook