Excel-based customer segmentation and dashboard analysis of Fitbit tracker data for a fitness company's three subsidiaries (diet plans, apparel, sleep app).

ML regression project predicting employee CTC using experience, education, and prior salary — compares 8 models, tuned with GridSearchCV.

Next-day rainfall prediction for Sydney using classification and ensemble models (Logistic Regression, Decision Tree, Bagging, Random Forest, Gradient Boosting, AdaBoost, XGBoost), tuned with GridS…

Interactive Tableau dashboard analyzing sales, customer, and product performance for a bike shop, built on a star-schema dataset with SQL-based data prep.

This repository hosts the files for my data portfolio, built with GitHub Pages, to showcase my projects and insights in data analysis and visualization.

This project uses the Epicurious dataset to identify the most common ingredients in highly-rated recipes, part of an assessment by Rapidious. The analysis provides insights into ingredient trends u…

A comprehensive data analysis of 120 years of modern Olympic history (1896-2016) using Excel. The project explores trends in athlete participation, country representation, and gender dynamics, with…

This project explores Netflix's content library to uncover trends, popular content and ratings. It aims to provide valuable insights into what's available for streaming on Netflix.

This project involves analysis of global terrorism trends from 1970 to 2017, uncovering patterns and insights with interactive Tableau visualizations.

This project aims to uncover the factors behind high cancellation rates in City & Resort Hotels, enabling data-driven strategies to enhance revenue and room utilization.

This project is part of Accenture Data Analytics & Visualization Virtual Experience Program on Forage.

Analyzed the World Economic Indicator Dataset to investigate the factors driving sustainable economic growth in countries and regions. Delivered insights on strategies for achieving long-term econo…