About
Motivated Business Intelligence Developer with a strong background in data analysis and reporting, skilled in transforming complex data into actionable insights that drive business growth and operational efficiency. Proficient in tools such as IBM Cognos Analytics, Microsoft SQL Server, Power BI, Excel, SQL, and Python. Detail-oriented with excellent analytical and problem-solving abilities, passionate about leveraging data to support decision-making and continuously improving processes. Eager to contribute to a dynamic team and apply hands-on experience from academic and real-world projects to deliver meaningful results.
Projects
Analyzing electricity consumption in Saudi Arabia Data Analysis Project with ๐ Microsoft Excel
This "Analyzing electricity consumption in Saudi Arabia" Data Analysis project analyzes total usage, revenue, and pricing across cities, regions, and consumer categories. Through data cleaning, pivot tables, charts, and an interactive dashboard, the analysis provides insights for better decision-making on electricity consumption trends.
HR Data Analysis Project With ๐ Microsoft Power BI
This "HR" Data Analysis project provides comprehensive insights into workforce planning, diversity monitoring, training effectiveness, and cost management, enabling HR department to make strategic, data-driven decisions. By leveraging key HR metrics, the dashboard enhances employee engagement, optimizes resource allocation, and fosters organizational growth.
Store Data Analysis Project With ๐ Microsoft Power BI
This "Store" Data Analysis project provides a comprehensive analysis of store sales and profit, visualizing key metrics like total sales ($2.30M), profit ($286.68K), customer segmentation, product performance, and shipping efficiency. It enables data-driven decision-making by offering insights into regional trends, manager performance, top-selling products, quarterly growth, and weekday vs. weekend sales patterns to optimize profitability and business strategy.
E-Commerce Data Analysis Project With ๐ Microsoft Power BI
This "E-commerce" Data Analysis project shows strong user acquisition from Display, Social, and Other channels, with increasing revenue trends, but lower retention and conversion rates highlight engagement and checkout inefficiencies. While Direct and Instagram traffic drive significant revenue, high bounce rates and underperforming retargeting campaigns indicate the need for improved user experience, targeted marketing optimizations, and conversion-focused strategies to maximize revenue potential.
Unlocking Growth by Identifying the Best Product for Maximum Impact Data Analysis Project With ๐ Microsoft Power BI
This "Unlocking Growth: Identifying the Best Product for Maximum Impact" Data Analysis project, analyzes sales data across Point-of-Sale, Payment Pages, and Payment Requests to identify the most promising product for resource allocation. By cleaning, transforming, and visualizing data using DAX-powered analysis, it provides actionable insights and a strategic recommendation on which product to prioritize for maximum growth.
Optimizing Profitability Data Analysis Project With ๐๏ธ MS SQL Server
This "Optimizing Profitability" Data Analysis project analyze sales data by identifying the most profitable customers. By calculating gross margins, evaluating key customers, and investigating profitability drivers to enhance sales strategies and maximize revenue for "Fancy Fruits (fictitious)" company.
Marketing Campaigns Data Analysis Project With ๐ป Python
This "Marketing Campaigns" Data Analysis project assesses the effectiveness of various acquisition campaigns in increasing Relative Market Share (RMS). By analyzing customer segmentation, campaign performance, and purchasing behavior, the project answers key business questions related to optimal targeting, rejection reasons, revenue-maximizing strategies, and the best campaign offers and sales channels to enhance customer acquisition and profitability.
Python ๐ป Assignment
