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Mohd-Shabir/README.md

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About

BSc Digital Business & Data Science student at the University of Europe for Applied Sciences, Dubai (2024–2027), combining data analytics, business strategy, and AI-driven solutions to solve real-world problems.

⚡ Skill Matrix

Skill Matrix

GitHub Stats

GitHub Streak

Education

BSc Digital Business & Data Science — University of Europe for Applied Sciences, Dubai 2024–2027

Higher Secondary Certificate — Computer Science — The Royal Academy, Ajman

LinkedIn Portfolio

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  1. data-analytics-sql-project data-analytics-sql-project Public

    SQL analytics & Power BI dashboard built on the Gold layer from Part 1 (data-warehouse-sql-project). Covers EDA, advanced SQL (YoY, cumulative, segmentation), customer/product reports, and a 3-page…

  2. data-warehouse-sql-project- data-warehouse-sql-project- Public

    End-to-end data warehouse built in MySQL using Medallion Architecture (Bronze → Silver → Gold). Covers ETL pipelines, data cleaning, and star schema modeling from raw CRM & ERP data.

  3. ecommerce-funnel-analysis ecommerce-funnel-analysis Public

    Analysing why 85% of users drop off before purchasing, funnel analysis across 15K users, 9 countries & 4 marketing channels using Python & Power BI.

    Jupyter Notebook

  4. retailx-customer-segmentation retailx-customer-segmentation Public

    End-to-end customer segmentation pipeline that analyzes ~1,900 RetailX customers using K-Means clustering to identify 3 behavioral segments, enriches them with CLV and churn risk scoring, and appli…

    Jupyter Notebook

  5. ab-testing-project ab-testing-project Public

    End-to-end A/B testing analysis using Snowflake (SQL + Python), and Tableau. Analyzed 5,000 users — new webpage design achieved 160% higher conversion rate (p < 0.001) across all segments.

    Jupyter Notebook

  6. digital-finance-automation digital-finance-automation Public

    End-to-end digital finance automation built with Microsoft Power Platform, featuring a Power BI dashboard, AI query agent (Copilot Studio), using synthetic 15k-row corporate finance dataset.

    Python