Excel-based dashboard project exploring bike sales trends using pivot charts and slicers. Analyzed customer demographics (income, gender, age, commute) to uncover patterns and generate actionable insights. Built for dynamic filtering and stakeholder reporting.

This project focuses on cleaning and standardizing a real-world dataset on Nashville housing transactions. The key steps include standardizing date formats, filling in missing values, breaking out addresses into individual components, standardizing categorical data, removing duplicates, and dropping unused columns.

Data cleaning project using SQL to clean and prepare layoff data

This is a portfolio project using SQL queries to analyze the Covid 19 dataset which shows critical information such as locations, total cases, total deaths, total vaccinations , etc.

Created a dashboard to visualize survey data of data professionals

This project showcases an analysis of a Bike Sales Dataset using Excel. The project is divided into three main parts: Data Cleaning, Pivot Table Analysis, and Dashboard Creation.

An Excel project that analyzes bike buyers' patterns using a dashboard. The project includes data cleaning, pivot tables, and an interactive dashboard with slicers for filtering.