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$10 USD / 小时
AUSTRALIA的国旗
bacchus marsh, australia
$10 USD / 小时
目前这里是4:46 下午
四月 16, 2024已加入
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Pooja R.

@goyalpooja338

 5.0 (1条评论)
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$10 USD / 小时
AUSTRALIA的国旗
bacchus marsh, australia
$10 USD / 小时
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Data Analyst | Power BI | Microsoft SQL | Excel

As a data analyst, I have developed strong skills in extracting insights from complex datasets. My expertise spans Power BI, DAX, MS Excel, Google Sheets, Microsoft SQL, and Python, enabling me to proficiently analyze and visualize data to drive informed decision-making. I am well-versed in manipulating data, creating advanced reports, visualising the data, and developing actionable recommendations.
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文件夹

11836769
Project on SQL Database Creation
11836641
The Adventure Works project incorporates data from four key tables: Customer, Product, Date, and Sales, supplemented by a Budget table. This comprehensive dataset enables a thorough analysis of sales performance and customer behaviour over time. By leveraging these tables, the project aims to gain actionable insights into product sales trends, customer purchasing patterns, and revenue generation. Additionally, the Budget table provides a benchmark for evaluating actual sales performance against predefined targets. Through this analysis, stakeholders can make informed decisions to optimize marketing strategies, product offerings, and resource allocation, ultimately driving business growth and profitability for Adventure Works.
Adventure Works Sales Analysis
11836639
The Health Care - Patient Waiting List Analysis project in Power BI integrates two types of data—Inpatient and Outpatient—spanning from 2017 to 2021. Additionally, a separate CSV file containing speciality information supplements this dataset. The comprehensive report begins with an overview page, presenting average and mean waiting list statistics categorized by case type, time band, and speciality. Monthly trends in patient counts are also visualized. Users benefit from extensive filtering capabilities to tailor the analysis to specific parameters. The subsequent page provides a detailed view of the waiting list data, offering deeper insights into the dynamics of patient queues across various dimensions.
Health Care Data Analysis
11836638
This project presents an interactive dashboard created using Power BI to analyse sales data from Amazon, focusing on the Amazon and Amazon Fashion categories. The dashboard provides insights into overall sales performance, sales by category and product, top-performing cities, and states, and allows filtering based on sales status.
Amazon Sales Analysis
11836634
The Olympic Games Analysis project leverages Power BI to dissect data from two primary tables: Athlete Event Result and Team Info. Through this analysis, a comprehensive report has been developed. The initial page showcases the distribution of gold, silver, and bronze medals, comparing National Olympic Committees (NOCs) against their medal counts, highlighting the top 5 NOCs in each medal category, and illustrating the correlation between sports and medal counts. Users have the flexibility to filter data based on various parameters such as year, season, NOC, sports, competitor, and sex. On the second page, the focus shifts to the distribution of medals concerning competitors, including breakdowns by age group and sex. Additionally, key competitors' names are highlighted, along with a visualization of competitor distribution across NOCs. This multifaceted report provides deep insights into Olympic Games performance, enabling nuanced analysis and decision-making.
Olympic Games Analysis
11836633
For my current project, I conducted an in-depth exploratory analysis of Zomato data using Power BI. Zomato, a popular restaurant discovery platform, provides rich datasets covering various aspects of the food industry, including restaurant details, menu items, user reviews, and more. Leveraging this wealth of data, I aimed to uncover insights into consumer preferences, restaurant trends, and dining behaviour.
Zomato Sales Analyis Project
11836769
Project on SQL Database Creation
11836641
The Adventure Works project incorporates data from four key tables: Customer, Product, Date, and Sales, supplemented by a Budget table. This comprehensive dataset enables a thorough analysis of sales performance and customer behaviour over time. By leveraging these tables, the project aims to gain actionable insights into product sales trends, customer purchasing patterns, and revenue generation. Additionally, the Budget table provides a benchmark for evaluating actual sales performance against predefined targets. Through this analysis, stakeholders can make informed decisions to optimize marketing strategies, product offerings, and resource allocation, ultimately driving business growth and profitability for Adventure Works.
Adventure Works Sales Analysis
11836639
The Health Care - Patient Waiting List Analysis project in Power BI integrates two types of data—Inpatient and Outpatient—spanning from 2017 to 2021. Additionally, a separate CSV file containing speciality information supplements this dataset. The comprehensive report begins with an overview page, presenting average and mean waiting list statistics categorized by case type, time band, and speciality. Monthly trends in patient counts are also visualized. Users benefit from extensive filtering capabilities to tailor the analysis to specific parameters. The subsequent page provides a detailed view of the waiting list data, offering deeper insights into the dynamics of patient queues across various dimensions.
Health Care Data Analysis
11836638
This project presents an interactive dashboard created using Power BI to analyse sales data from Amazon, focusing on the Amazon and Amazon Fashion categories. The dashboard provides insights into overall sales performance, sales by category and product, top-performing cities, and states, and allows filtering based on sales status.
Amazon Sales Analysis
11836634
The Olympic Games Analysis project leverages Power BI to dissect data from two primary tables: Athlete Event Result and Team Info. Through this analysis, a comprehensive report has been developed. The initial page showcases the distribution of gold, silver, and bronze medals, comparing National Olympic Committees (NOCs) against their medal counts, highlighting the top 5 NOCs in each medal category, and illustrating the correlation between sports and medal counts. Users have the flexibility to filter data based on various parameters such as year, season, NOC, sports, competitor, and sex. On the second page, the focus shifts to the distribution of medals concerning competitors, including breakdowns by age group and sex. Additionally, key competitors' names are highlighted, along with a visualization of competitor distribution across NOCs. This multifaceted report provides deep insights into Olympic Games performance, enabling nuanced analysis and decision-making.
Olympic Games Analysis
11836633
For my current project, I conducted an in-depth exploratory analysis of Zomato data using Power BI. Zomato, a popular restaurant discovery platform, provides rich datasets covering various aspects of the food industry, including restaurant details, menu items, user reviews, and more. Leveraging this wealth of data, I aimed to uncover insights into consumer preferences, restaurant trends, and dining behaviour.
Zomato Sales Analyis Project

评论

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 筛选评论规则：
5.0
₹3,000.00 INR
Ews Project
Very prompt, understands the business requirements well and has good communication skills
Data Analytics
Data Cleansing
Data Extraction
Data Analysis
+1更多
C
的国旗 Covana Media P.
@Covana007
•
16 天前

经验

Quality Management Representative

Yash Appliances
2月 2019 - 12月 2022 (3 年, 10 个月)
Quality Data Analyst, Problem Solving, Quality Management Representative, QMS Handling

Quality Engineer

MVM
1月 2018 - 2月 2019 (1 年, 1 个月)
Responsible for collecting, monitoring, and analyzing manufacturing data to identify trends, deviations, and quality issues. I investigated problems, improved processes, implemented quality controls, and collaborated with teams to ensure compliance and continuous improvement.

教育

B.Tech- M.Tech

India 2013 - 2018
(5 年)

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