Superstore Sales Analysis Project

The Superstore Sales Analysis Project analyzes 9,994 records using SQL and Excel to uncover insights across sales, profit, customer segments, inventory, and shipping. Featuring 15 visualizations on a two-sheet dashboard, it transforms raw data into actionable business intelligence for decisions

Revenue Analysis Dashboard

Developed a comprehensive Power BI dashboard to meticulously analyze Key Performance Indicators (KPIs) and extract actionable insights pertaining to revenue performance across a portfolio of five-star hotels owned by AtliQ Grands, spanning locations throughout India

Road Accident Dashboard

The Road Accident Dashboard project aimed to create a visual tool for tracking and analyzing road accident data. By providing insights into trends and key metrics, the dashboard helps stakeholders make informed decisions to improve road safety and reduce accidents.

Car Price Prediction Project

Utilized web scraping techniques to gather data from various online sources and created a comprehensive dataset for analysis. the Project aims to develop a predictive Machine Learning Model that can accurately forecast the prices of cars based on various features and attributes.

Pizza Sales Dashboard

The project analyzes pizza sales data to understand business performance, calculating metrics like Total Revenue, Average Order Value, and more. Visual charts display trends in orders and top/bottom selling pizzas to provide actionable insights for strategic decision-making in the pizza business.

Flight Price Prediction

The project analyzes flight ticket price fluctuations using MakeMyTrip data, focusing on revenue optimization through pricing strategies and occupancy management. It employs web scraping, data preprocessing, EDA, and regression modeling, achieving 98% accuracy with insights into airline preferences