Projects

My Works

Join me on a journey into the exciting world of data! As a budding data analyst, I've mastered tools like Excel, Power BI, SQL, and Python to turn raw data into valuable insights that drive business success. Here, I'll share stories of my data projects, where I've used my skills to solve problems and uncover opportunities. From creating Excel models to building interactive Power BI dashboards, optimizing databases with SQL, and analyzing sentiments with Python – each project showcases not just technical know-how, but also my passion for transforming data into actionable intelligence.

01 Music Store Analysis

Tools Used: SQL, Canva

Using SQL, I delved into music store data to uncover patterns and trends, aiming to gain valuable insights.

In this project, I utilized queries categorized into easy, moderate, and hard levels, covering essential topics such as CTEs, joins, subqueries, aggregations, and window functions.

02 Covid - 19 Analysis

Tools Used : Excel, SQL, Power BI

The project focuses on exploring various aspects of the covid_19 datasets. Aims to analyze covid_19 data to gain insights into uncover patterns and key metrics related to the virus. Using Excel for cleaning data for accuracy, SQL for Data Querying and Power BI for Interactive Dashboard and reports for effective communication.

03 Road Accident Analysis

Tools Used : Power BI, Power Query Editor

This project was a comprehensive exploration of a road accident dataset spanning the years 2020_2021. Aimed at extracting actionable insights and providing meaningful visualisations to enhance decision-making in road safety insights

04 HR Analysis Dashboard

Tools Used : Excel, Power BI

Help an Organization to improve employee performance and increase employee retention(reduce Attrition) by creating a HR Analytics Dashboard. using pivot table and chart for analyze the HR data to bring insights.

05 Sales Analysis Dashboard

Tools Used : Excel, Power BI

The purpose of this project is to analyze sales data to identify trends, top-selling products, and revenue metrics for informed business decision-making. This project include exploring sales trends over time, identifying the best-selling products, calculating revenue metrics such as total sales and profit margins, and creating visualizations to effectively present your findings

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06 Restaurant Analysis

Tools Used : Pandas, NumPy, Matplotlib, Seaborn

In the culmination of the restaurant analysis project, we have embarked on a data-driven journey to unravel key insights into the Restaurant data. Through a series of exploratory analyses, we've dived into various facets of the dataset, shedding light on geographical patterns, cuisine diversity, customer sentiments, and the intricate relationship between ratings and services.