This project showcases a comprehensive Customer Detail Dashboard built using Excel. It visualizes key metrics and insights from transactional data (2020-2022), providing an interactive interface for analyzing customer behavior, sales performance, and profitability across regions and demographics.

This DAX-based eCommerce dashboard provides a real-time snapshot of a business's financial position, aiding FP&A by highlighting key metrics for better decision-making. It handles large datasets from 2019 to 2021, visualizing KPIs like cumulative sales, profitable customers, and profit trends.

Data-driven analysis of inventory management and supply chain efficiency (2015-2018). Identifies key trends in product classes, sales performance, and shipping. Provides actionable insights to optimize inventory levels, reduce costs, and improve customer satisfaction in a complex supply chain environment.

Analysis of consumer complaints in the financial services sector, leveraging data from 2013-2016. This project examines customer satisfaction, resolution times, and dispute rates across various companies and products. It provides actionable insights and recommendations to improve complaint handling processes, enhance customer satisfaction.

'Vrinda Store' Data Analysis Project using Excel

Preforming analysis on Kickstarter data to uncover trends and emulate successful campaigns

The HR Insight Dashboard provides a dynamic overview of an organization's workforce. It visualizes key metrics such as department distribution, absences, and educational credentials, enabling HR professionals to make data-driven decisions and develop proactive strategies.

Assessed 8 years of historical shipping data to develop strategies for future shipping optimization and sales performance improvement.

Conducted extensive analysis of WeTalk's 2020 Q1 dataset using Google Sheets. Leveraged pivot charts to extract actionable insights, meticulously crafting a comprehensive dashboard for detailed evaluation of agent performance and operational trends in the support center.

Data-driven analysis of customer churn in telecommunications (2015-2018). Identifies key factors influencing customer retention, provides insights on demographic and behavioral patterns, and offers strategies to reduce churn and increase customer lifetime value.

Utilizing Excel and statistics, including t-tests and z-tests, in the analysis of housing prices to determine the most influential factors driving home prices.

This project involves a comprehensive data analysis of a hotel reservation dataset using Excel. The primary focus is on examining reservation cancellations. Through detailed analysis and visual representation.

Developed as a way to keep track of my expenses, allowing me to make informed and smart money decisions based on my complete financial picture.

In this project, I conducted a comprehensive data analysis on the dataset from Vrinda Clothing Store, which included developing multiple interactive dashboards in MS Excel. The project encompassed key processes such as data cleaning, data processing, analysis, and visualization, providing a detailed view of customer and sales insights.

Advanced MS Excel

Statistical Analysis using Excel Spreadsheets

This repository serves as a showcase of the skills I've acquired through Datacamp's "Data Analysis in Excel" course.

Created an dashboard on excel using e-commerce datasets