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Data Analysis
Data Analytics
Excel
Microsoft PowerBI
Microsoft Word
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Alaa H.

@alaah69

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data analytics

$10 USD / orë
・
Flamuri i
Egypt (5:11 p.d.)
・
U bashkua në janar 11, 2025
$10 USD / orë
・
Data Analyst with a passion for uncovering insights and driving data-driven decisions. I specialize in utilizing advanced tools and platforms such as Power BI, and Excel to analyze, organize, and visualize data effectively. My expertise lies in identifying patterns, optimizing processes, and delivering actionable insights to support strategic goals. I am highly skilled in problem-solving, collaboration, and continuously enhancing my knowledge to stay updated with the latest advancements in data analytics.
Verifikimet
Freelancer Excel Experts Egypt
Shikoni të gjitha Excel Experts në Egypt

Portofol

Portofol

12490069
This project provides a comprehensive analysis of the Nike products , focusing on its performance, sales, and customer feedback. The analysis is divided into three main sections: Overview, Insights, and Performance. This project aims to provide valuable insights into the product's market performance, helping stakeholders make informed decisions regarding marketing strategies, inventory management, and product improvements.
Sales Analysis for Nike product
This project provides a comprehensive analysis of the Nike products , focusing on its performance, sales, and customer feedback. The analysis is divided into three main sections: Overview, Insights, and Performance. This project aims to provide valuable insights into the product's market performance, helping stakeholders make informed decisions regarding marketing strategies, inventory management, and product improvements.
Sales Analysis for Nike product
This project provides a comprehensive analysis of the Nike products , focusing on its performance, sales, and customer feedback. The analysis is divided into three main sections: Overview, Insights, and Performance. This project aims to provide valuable insights into the product's market performance, helping stakeholders make informed decisions regarding marketing strategies, inventory management, and product improvements.
Sales Analysis for Nike product
12490085
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
12451487
I developed a comprehensive Call Center Performance Dashboard using Power BI to provide valuable insights into operational efficiency and service quality. This dashboard offers a detailed analysis of key performance metrics, enabling data-driven decision-making for improved call center management. Key features and metrics included: Call Handling Analysis: Calculated the total number of calls answered and not answered, along with their respective percentages relative to the total call volume. Service Efficiency: Measured the Average Speed of Answer (ASA) in seconds, reflecting the responsiveness of the call center. Customer Satisfaction: Calculated the average satisfaction rate, providing a clear indicator of service quality from customer feedback. Interactive Filters: Implemented dynamic slicers for date, topic, and agent, allowing users to explore data from multiple perspectives and gain deeper insights into performance trends. This interactive and visually engaging dashboard empowers
call center analysis
12451484
This project involves creating an interactive data visualization dashboard to analyze business performance across multiple metrics. The key focus is on providing actionable insights into sales, costs, revenues, and profits to aid decision-making. Key Insights and Features 1. Summary Metrics The dashboard highlights critical performance indicators at a glance, such as: Number of Orders: 34.9K Total Cost: $20.1M Total Sales: $22.3M Total Profit: $2.3M Average Revenue Per Order: $640.87 2. Country and State-Level Analysis Total Sales by Country: A bar chart showing that the majority of sales come from the United States, followed by the United Kingdom, Germany, and France. State-Level Insights: Highest Sales States: States like California and Texas lead in sales. Lowest Sales and Profit States: States such as Arizona, Massachusetts, and others are analyzed for minimal contributions to sales and profit. 3. Monthly Trends A line chart visualizes sales trends across period from 2015-2016 For
super store sales analysis
This project involves creating an interactive data visualization dashboard to analyze business performance across multiple metrics. The key focus is on providing actionable insights into sales, costs, revenues, and profits to aid decision-making. Key Insights and Features 1. Summary Metrics The dashboard highlights critical performance indicators at a glance, such as: Number of Orders: 34.9K Total Cost: $20.1M Total Sales: $22.3M Total Profit: $2.3M Average Revenue Per Order: $640.87 2. Country and State-Level Analysis Total Sales by Country: A bar chart showing that the majority of sales come from the United States, followed by the United Kingdom, Germany, and France. State-Level Insights: Highest Sales States: States like California and Texas lead in sales. Lowest Sales and Profit States: States such as Arizona, Massachusetts, and others are analyzed for minimal contributions to sales and profit. 3. Monthly Trends A line chart visualizes sales trends across period from 2015-2016 For
super store sales analysis
This project involves creating an interactive data visualization dashboard to analyze business performance across multiple metrics. The key focus is on providing actionable insights into sales, costs, revenues, and profits to aid decision-making. Key Insights and Features 1. Summary Metrics The dashboard highlights critical performance indicators at a glance, such as: Number of Orders: 34.9K Total Cost: $20.1M Total Sales: $22.3M Total Profit: $2.3M Average Revenue Per Order: $640.87 2. Country and State-Level Analysis Total Sales by Country: A bar chart showing that the majority of sales come from the United States, followed by the United Kingdom, Germany, and France. State-Level Insights: Highest Sales States: States like California and Texas lead in sales. Lowest Sales and Profit States: States such as Arizona, Massachusetts, and others are analyzed for minimal contributions to sales and profit. 3. Monthly Trends A line chart visualizes sales trends across period from 2015-2016 For
super store sales analysis
12490069
This project provides a comprehensive analysis of the Nike products , focusing on its performance, sales, and customer feedback. The analysis is divided into three main sections: Overview, Insights, and Performance. This project aims to provide valuable insights into the product's market performance, helping stakeholders make informed decisions regarding marketing strategies, inventory management, and product improvements.
Sales Analysis for Nike product
This project provides a comprehensive analysis of the Nike products , focusing on its performance, sales, and customer feedback. The analysis is divided into three main sections: Overview, Insights, and Performance. This project aims to provide valuable insights into the product's market performance, helping stakeholders make informed decisions regarding marketing strategies, inventory management, and product improvements.
Sales Analysis for Nike product
This project provides a comprehensive analysis of the Nike products , focusing on its performance, sales, and customer feedback. The analysis is divided into three main sections: Overview, Insights, and Performance. This project aims to provide valuable insights into the product's market performance, helping stakeholders make informed decisions regarding marketing strategies, inventory management, and product improvements.
Sales Analysis for Nike product
12490085
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
The project aims to provide a comprehensive analysis of rental prices across different cities in Saudi Arabia. It helps stakeholders, including investors, tenants, and real estate agencies, to understand the rental market trends and make informed decisions. Purpose of the Project: Rental Data Analysis: The project provides a detailed analysis of average rental prices in major Saudi cities, identifying the highest and lowest rental areas. Decision-Making Support: It offers valuable insights for investors, tenants, and real estate agencies to understand the market and choose suitable areas based on their needs. Data Interaction: Using filters (age, size, number of rooms), users can analyze rental prices based on specific property characteristics. This project is a powerful tool for anyone involved in the real estate market, providing clear and interactive visualizations to better understand rental trends and make data-driven decisions.
Analysis of rental prices in KSA
12451487
I developed a comprehensive Call Center Performance Dashboard using Power BI to provide valuable insights into operational efficiency and service quality. This dashboard offers a detailed analysis of key performance metrics, enabling data-driven decision-making for improved call center management. Key features and metrics included: Call Handling Analysis: Calculated the total number of calls answered and not answered, along with their respective percentages relative to the total call volume. Service Efficiency: Measured the Average Speed of Answer (ASA) in seconds, reflecting the responsiveness of the call center. Customer Satisfaction: Calculated the average satisfaction rate, providing a clear indicator of service quality from customer feedback. Interactive Filters: Implemented dynamic slicers for date, topic, and agent, allowing users to explore data from multiple perspectives and gain deeper insights into performance trends. This interactive and visually engaging dashboard empowers
call center analysis
12451484
This project involves creating an interactive data visualization dashboard to analyze business performance across multiple metrics. The key focus is on providing actionable insights into sales, costs, revenues, and profits to aid decision-making. Key Insights and Features 1. Summary Metrics The dashboard highlights critical performance indicators at a glance, such as: Number of Orders: 34.9K Total Cost: $20.1M Total Sales: $22.3M Total Profit: $2.3M Average Revenue Per Order: $640.87 2. Country and State-Level Analysis Total Sales by Country: A bar chart showing that the majority of sales come from the United States, followed by the United Kingdom, Germany, and France. State-Level Insights: Highest Sales States: States like California and Texas lead in sales. Lowest Sales and Profit States: States such as Arizona, Massachusetts, and others are analyzed for minimal contributions to sales and profit. 3. Monthly Trends A line chart visualizes sales trends across period from 2015-2016 For
super store sales analysis
This project involves creating an interactive data visualization dashboard to analyze business performance across multiple metrics. The key focus is on providing actionable insights into sales, costs, revenues, and profits to aid decision-making. Key Insights and Features 1. Summary Metrics The dashboard highlights critical performance indicators at a glance, such as: Number of Orders: 34.9K Total Cost: $20.1M Total Sales: $22.3M Total Profit: $2.3M Average Revenue Per Order: $640.87 2. Country and State-Level Analysis Total Sales by Country: A bar chart showing that the majority of sales come from the United States, followed by the United Kingdom, Germany, and France. State-Level Insights: Highest Sales States: States like California and Texas lead in sales. Lowest Sales and Profit States: States such as Arizona, Massachusetts, and others are analyzed for minimal contributions to sales and profit. 3. Monthly Trends A line chart visualizes sales trends across period from 2015-2016 For
super store sales analysis
This project involves creating an interactive data visualization dashboard to analyze business performance across multiple metrics. The key focus is on providing actionable insights into sales, costs, revenues, and profits to aid decision-making. Key Insights and Features 1. Summary Metrics The dashboard highlights critical performance indicators at a glance, such as: Number of Orders: 34.9K Total Cost: $20.1M Total Sales: $22.3M Total Profit: $2.3M Average Revenue Per Order: $640.87 2. Country and State-Level Analysis Total Sales by Country: A bar chart showing that the majority of sales come from the United States, followed by the United Kingdom, Germany, and France. State-Level Insights: Highest Sales States: States like California and Texas lead in sales. Lowest Sales and Profit States: States such as Arizona, Massachusetts, and others are analyzed for minimal contributions to sales and profit. 3. Monthly Trends A line chart visualizes sales trends across period from 2015-2016 For
super store sales analysis
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Përshtypje
Asnjë vlerësim këtu!
Arsimi
Alexandria University
2017 - 2022
•
5 years
master
Flamuri i
Egypt
2017 - 2022
•
5 years
Alexandria University
2012 - 2016
•
4 years
bachelor
Flamuri i
Egypt
2012 - 2016
•
4 years
Kualifikimet
Data Fundamentals
2025
IBM SkillsBuild
his credential earner demonstrates knowledge of data analytics concepts, methodologies and applications of data science, and the tools and programming languages used in the data ecosystem. The individual has a conceptual understanding of how to clean, refine, and visualize data using IBM Watson Studio. The earner is aware of the job outlook in data and is familiar with the skills required for success in various roles in the domain.
2025
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