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AbdulRafay365/README.md

πŸ‘‹ Hi, I'm Abdul

Data Analytics Professional | Business Intelligence Enthusiast | Deloitte Alumni
πŸ“ Toronto, Canada | πŸ“§ abdulrafaymohammed365@gmail.com
πŸ”— LinkedIn | Tableau Portfolio | GitHub


πŸš€ About Me

I'm a passionate Data Analytics Professional with a keen interest in Predictive Analytics, Business Intelligence, and Data-Driven Decision Making. With a foundation built at Deloitte Consulting, I bring hands-on experience in machine learning, SQL, ETL pipelines, and dashboard development.

πŸ’‘ Certified Professional Scrum Master I (PSM I)
πŸ“Š Member of the International Institute of Business Analysis (IIBA)
πŸ“ˆ I love transforming raw data into stories that drive action and strategy.


🧠 Key Projects

A comparative study of machine learning models like Decision Trees and Regression Models for predicting housing prices.

Segmented retail customers using PCA and K-Means Clustering to power personalized marketing strategies.

Designed a full-stack data warehouse using Medallion Architecture, integrating ETL pipelines in PostgreSQL.

Tested classification models to detect fraud, optimize precision, and reduce false positives in financial data.

Used PostgreSQL to analyze song popularity, artist trends, and genres from Spotify data.

Solved 15 real-world business problems using advanced SQL queries on Netflix data.


πŸ› οΈ Technical Skills

  • Languages: Python, R, SQL, PLpgSQL
  • Tools: Tableau, Power BI, Jupyter, PostgreSQL, Excel, Git
  • Concepts: Machine Learning, Statistical Analysis, ETL, Data Warehousing, Business Intelligence, Scrum & Agile

πŸ“« Let’s Connect!

  • Feel free to reach out if you're looking for a motivated analyst, want to collaborate, or just talk data!

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  1. NetflixSQL NetflixSQL Public

    A repository showcasing advanced SQL queries to solve 15 business problems using a Netflix dataset, covering content trends, ratings, genres, and more.

  2. SpotifySQL SpotifySQL Public

    This project analyzes Spotify music data using PostgreSQL to extract meaningful insights through SQL queries. It covers exploratory data analysis (EDA), data cleaning, and advanced analytics to und…