Excel
Project
PowerBI
Projects
Python
Project
Me
Hi, Welcome to my Portfolio ,
I’m Kushagra, an aspiring Data Analyst with a B.Tech in Computer Science and Engineering. I’m passionate about using data to solve problems, uncover insights, and help businesses grow.
I have hands-on experience with tools like Power BI, Excel, SQL, and Python, which I use to analyze data, find patterns, and present clear insights. Here’s what I bring to the table:
- Data Analysis: Breaking down complex datasets to find meaningful insights.
- Problem Solving: Creating simple, effective solutions to business challenges.
- Clear Communication: Turning data into stories that everyone can understand and act on.
I enjoy turning raw data into useful information that drives smart decisions. With every project, I focus on learning, improving, and making a real impact.
Let’s connect and see how I can help your team make better decisions with data!
Skills
Microsoft Excel
Power Bi
SQL
Data Analysis
Data Modelling
Data Cleaning
Python
Projects
Domain/Function: AtliQ - Sales and Finance Analytics
Developed a Sales and Finance Analytics project for AtliQ Hardwares, delivering sales reports and P&L statements by year, month, and market. Utilized data cleaning, Power Pivot, and DAX to create models and KPIs, transforming raw data into insights that drove informed decisions and business growth.
Domain/Function: AtliQ - Business Insights 360
AtliQ Hardware faced challenges managing data within Excel. Objective: Shift from Excel to Power BI for better comprehension. Goal: Achieve insights into finance, sales, and supply chain areas. Data Volume: 1.8 million entries. Tools Used: SQL, Power BI, Excel, DAX Studio.
Domain/Function: Hospitality Domain
This repository contains a Power BI project for AtliQ Hotels, a chain of 5⭐ hotels in India. The dashboard delivers actionable insights into market share, revenue trends, cancellations, and performance metrics. It features an Executive View for strategic decisions and a Hotel and Room Performance se
Domain/Function: Hospitality Domain
This project focuses on analyzing hotel booking data using pandas. It provides insights into key metrics such as occupancy percentages, booking trends, and room category performance. The project is designed to help hotel management make data-driven decisions to optimize operations and revenue.