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Data Extraction

Data Integration

5,0

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Pooja R.

@goyalpooja338

5,0

1

1,1

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100%

Data Analyst | Power BI | Microsoft SQL | Excel

$10 USD / hora

・

Australia (2:22 a. m.)

・

Se unió el abril 16, 2024

$10 USD / hora

・

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.

Verificaciones

A tiempo

100 %

Dentro del presupuesto

100 %

Ver todo Data Analytics Experts en Australia

Portafolio

Portafolio

11836769

Project on SQL Database Creation

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

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

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

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

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

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

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

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

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

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

Cambios guardados

5.0 · 1 Review

Opiniones

C

• ₹3.000 INR

Very prompt, understands the business requirements well and has good communication skills

Data Extraction

+1 más

Covana Media P.

@Covana007

•

MUMBAI, India

•

hace 9 meses

Compartir

B.Tech- M.Tech

2013 - 2018

•

5 años

India

2013 - 2018

•

5 años

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