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$3 USD / hodinu
Pochází z PAKISTAN
karachi, pakistan
$3 USD / hodinu
Aktuálně je zde 5:33 dop.
Připojil se srpna 7, 2017
0 Doporučení

Hamza A.

@hal5988a1d4d2a50

 0,0 (0 recenze)
0,0
0,0
0%
0%
$3 USD / hodinu
Pochází z PAKISTAN
karachi, pakistan
$3 USD / hodinu
Nedostupné
Úspěšně realizované projekty
Nedostupné
V rámci rozpočtu
Nedostupné
Včas
Nedostupné
Poměr opětovného zaměstnání

Data Analyst

With every day learning of data, I accomplished certificates and completed projects in Data analytics domain with my proofs available below. I am Electronic Engineer from the backend but I have persued my career in Data Analytics and Currently working on digitilization project of Data analytics in a reputable firm in my city. Looking forward to work online with clients of any nature to showcase my skills and acheivements.
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Portfolio

11739564
I am excited to share some insights from my first project as a Data Analyst Intern at MeriSKILL and MeriSKILL US. The project involved analyzing a sales dataset to extract revenue metrics, top-selling products, trends, and actionable insights that can help businesses optimize their sales strategies and boost revenue growth. To start, I imported the dataset into Power BI using the 'Get Data' option and then proceeded to transform the data in Power Query. I ensured data accuracy by meticulously cleaning the dataset, such as promoting the header row to ensure accurate column naming, changing data types, scanning for duplicates, and missing values. I also split the order date column using a space delimiter to ensure precise data segmentation. After loading the dataset back into Power BI, I created new measures for total cost, total quantity, total revenue, and profit margin using the DAX function. I then created four visuals for the monthly sales trend, the top 5 products by revenue, the
Data Visualization on Power Bi of employees by HR
I am excited to share some insights from my first project as a Data Analyst Intern at MeriSKILL and MeriSKILL US. The project involved analyzing a sales dataset to extract revenue metrics, top-selling products, trends, and actionable insights that can help businesses optimize their sales strategies and boost revenue growth. To start, I imported the dataset into Power BI using the 'Get Data' option and then proceeded to transform the data in Power Query. I ensured data accuracy by meticulously cleaning the dataset, such as promoting the header row to ensure accurate column naming, changing data types, scanning for duplicates, and missing values. I also split the order date column using a space delimiter to ensure precise data segmentation. After loading the dataset back into Power BI, I created new measures for total cost, total quantity, total revenue, and profit margin using the DAX function. I then created four visuals for the monthly sales trend, the top 5 products by revenue, the
Data Visualization on Power Bi of employees by HR
I am excited to share some insights from my first project as a Data Analyst Intern at MeriSKILL and MeriSKILL US. The project involved analyzing a sales dataset to extract revenue metrics, top-selling products, trends, and actionable insights that can help businesses optimize their sales strategies and boost revenue growth. To start, I imported the dataset into Power BI using the 'Get Data' option and then proceeded to transform the data in Power Query. I ensured data accuracy by meticulously cleaning the dataset, such as promoting the header row to ensure accurate column naming, changing data types, scanning for duplicates, and missing values. I also split the order date column using a space delimiter to ensure precise data segmentation. After loading the dataset back into Power BI, I created new measures for total cost, total quantity, total revenue, and profit margin using the DAX function. I then created four visuals for the monthly sales trend, the top 5 products by revenue, the
Data Visualization on Power Bi of employees by HR
I am excited to share some insights from my first project as a Data Analyst Intern at MeriSKILL and MeriSKILL US. The project involved analyzing a sales dataset to extract revenue metrics, top-selling products, trends, and actionable insights that can help businesses optimize their sales strategies and boost revenue growth. To start, I imported the dataset into Power BI using the 'Get Data' option and then proceeded to transform the data in Power Query. I ensured data accuracy by meticulously cleaning the dataset, such as promoting the header row to ensure accurate column naming, changing data types, scanning for duplicates, and missing values. I also split the order date column using a space delimiter to ensure precise data segmentation. After loading the dataset back into Power BI, I created new measures for total cost, total quantity, total revenue, and profit margin using the DAX function. I then created four visuals for the monthly sales trend, the top 5 products by revenue, the
Data Visualization on Power Bi of employees by HR
11739554
Another Task of MeriSKILL Completed few days ago and couldn't post it before 29th February Where data of Sales of Technology like Macbook, phones, laptops and other accessories is provided by the Meriskills, in which I clean the data, like removing empty rows, scrap values, filtering the specific data. there comes the next stage where I used the dashboard of Powerbi, Enter the respective data with the help of guide and visualize the data accordingly using maps, cards, bar charts, columns charts, line charts, slicers, etc.
Data Visualization Dashboard in Power BI of Sales of tech
11739564
I am excited to share some insights from my first project as a Data Analyst Intern at MeriSKILL and MeriSKILL US. The project involved analyzing a sales dataset to extract revenue metrics, top-selling products, trends, and actionable insights that can help businesses optimize their sales strategies and boost revenue growth. To start, I imported the dataset into Power BI using the 'Get Data' option and then proceeded to transform the data in Power Query. I ensured data accuracy by meticulously cleaning the dataset, such as promoting the header row to ensure accurate column naming, changing data types, scanning for duplicates, and missing values. I also split the order date column using a space delimiter to ensure precise data segmentation. After loading the dataset back into Power BI, I created new measures for total cost, total quantity, total revenue, and profit margin using the DAX function. I then created four visuals for the monthly sales trend, the top 5 products by revenue, the
Data Visualization on Power Bi of employees by HR
I am excited to share some insights from my first project as a Data Analyst Intern at MeriSKILL and MeriSKILL US. The project involved analyzing a sales dataset to extract revenue metrics, top-selling products, trends, and actionable insights that can help businesses optimize their sales strategies and boost revenue growth. To start, I imported the dataset into Power BI using the 'Get Data' option and then proceeded to transform the data in Power Query. I ensured data accuracy by meticulously cleaning the dataset, such as promoting the header row to ensure accurate column naming, changing data types, scanning for duplicates, and missing values. I also split the order date column using a space delimiter to ensure precise data segmentation. After loading the dataset back into Power BI, I created new measures for total cost, total quantity, total revenue, and profit margin using the DAX function. I then created four visuals for the monthly sales trend, the top 5 products by revenue, the
Data Visualization on Power Bi of employees by HR
I am excited to share some insights from my first project as a Data Analyst Intern at MeriSKILL and MeriSKILL US. The project involved analyzing a sales dataset to extract revenue metrics, top-selling products, trends, and actionable insights that can help businesses optimize their sales strategies and boost revenue growth. To start, I imported the dataset into Power BI using the 'Get Data' option and then proceeded to transform the data in Power Query. I ensured data accuracy by meticulously cleaning the dataset, such as promoting the header row to ensure accurate column naming, changing data types, scanning for duplicates, and missing values. I also split the order date column using a space delimiter to ensure precise data segmentation. After loading the dataset back into Power BI, I created new measures for total cost, total quantity, total revenue, and profit margin using the DAX function. I then created four visuals for the monthly sales trend, the top 5 products by revenue, the
Data Visualization on Power Bi of employees by HR
I am excited to share some insights from my first project as a Data Analyst Intern at MeriSKILL and MeriSKILL US. The project involved analyzing a sales dataset to extract revenue metrics, top-selling products, trends, and actionable insights that can help businesses optimize their sales strategies and boost revenue growth. To start, I imported the dataset into Power BI using the 'Get Data' option and then proceeded to transform the data in Power Query. I ensured data accuracy by meticulously cleaning the dataset, such as promoting the header row to ensure accurate column naming, changing data types, scanning for duplicates, and missing values. I also split the order date column using a space delimiter to ensure precise data segmentation. After loading the dataset back into Power BI, I created new measures for total cost, total quantity, total revenue, and profit margin using the DAX function. I then created four visuals for the monthly sales trend, the top 5 products by revenue, the
Data Visualization on Power Bi of employees by HR
11739554
Another Task of MeriSKILL Completed few days ago and couldn't post it before 29th February Where data of Sales of Technology like Macbook, phones, laptops and other accessories is provided by the Meriskills, in which I clean the data, like removing empty rows, scrap values, filtering the specific data. there comes the next stage where I used the dashboard of Powerbi, Enter the respective data with the help of guide and visualize the data accordingly using maps, cards, bar charts, columns charts, line charts, slicers, etc.
Data Visualization Dashboard in Power BI of Sales of tech

Recenze

Změny byly uloženy
K dispozici nejsou žádné recenze.

Vzdělání

Bachelor of Electronic Engineering

NED University of Engineering and Technology, Pakistan 2014 - 2018
(4 roky)

Kvalifikace

Data Analytics Essentials

Cisco Networking Academy
2024
I recently completed the Data Analyst Essential course from the Cisco Networking Academy, and I must say it was a truly resourceful experience. Throughout the course, we covered a wide range of topics, from data collection and cleaning to analysis and visualization. The instructors were knowledgeable and experienced, and they provided us with real-world examples and case studies that helped us to better understand the concepts we were learning.

Kontaktujte Hamza A. ohledně vaší práce

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