Projects
SQL Layoffs Dataset: Data Cleaning & Exploratory Data Analysis
This project performs full SQL-based data cleaning and exploratory data analysis (EDA) on a global layoffs dataset containing ~2,300 rows. The workflow includes duplicate removal, string standardization, date formatting, null value handling, and structured analysis using MySQL. The goal is to produce a clean, analysis-ready dataset and uncover trends across industries, companies, countries, and time.
View on GitHubBike Sales Dashboard in Excel
Created an interactive Excel dashboard using pivot tables, charts, slicers, and formulas to clean and analyze sales data, with visualizations that showed buying trends based on customer demographics such as commute distance and age.
View on GitHubMonte Carlo Simulation to Find π
Built a Python-based Monte Carlo simulation with an interactive Tkinter GUI that approximates π by randomly sampling points inside a quarter circle and computing the circle-to-square ratio for visualization and analysis.
View on GitHub
