Projects

The project focuses on a bicycle rental company with the primary goal of increasing annual memberships. To achieve this, various charts and graphs are utilized to analyze key factors influencing membership growth.

This project involves analyzing UFC data over the years to uncover meaningful insights about Mixed Martial Arts (MMA). Through data visualization, key trends and patterns are explored to gain a deeper understanding of the sport.

This project involves Exploratory Data Analysis (EDA) on a cafe’s sales data to uncover insights. The process begins with cleaning missing data to ensure accuracy and visualizing the information clearly and intuitively. Organizing and presenting the data effectively aims to enhance understanding of sales patterns and trends.

The 2021 Netflix dataset was cleaned using Excel, Power Query, and DAX, resolving errors and standardizing nulls. Missing country data was intelligently inferred, creating a reliable, analysis-ready dataset of Netflix’s global content.