Projects
PowerBI
In this project, I dive into key trends from two datasets - one sourced from an online chess resource and the other from my personal games played over the last two months.
The insights focus on important aspects of performance, such as win ratios, preferred first moves, and top openings.
Python
The analysis focuses on predicting the likelihood of heart disease in individuals based on various medical and demographic factors.
Performed exploratory data analysis to identify heart attack risk factors and developed Machine Learning models (Logistic Regression, Random Forest, XGBoost), achieving 95% accuracy with XGBoost
SQL, Tableau
I explored an employee distribution dataset, focusing on cleaning and organizing the data by removing duplicates, handling missing values, and performing aggregations. Using SQL, I extracted insights about the top job titles, transforming the data into Excel for detailed analysis. To bring the findings to life, I designed interactive Tableau dashboards that showcase performance metrics and trends, offering a clear view of employee distribution patterns.
