Project: Adult Income Data Analysis & Dashboard
Performed an end-to-end analysis on the Adult Income dataset to explore the relationships between demographic factors and income levels. Cleaned and preprocessed the data using Python (Pandas, NumPy), conducted exploratory data analysis (EDA), and visualized key patterns using Power BI. Developed an interactive dashboard showcasing insights such as the impact of education, occupation, gender, and working hours on income. The project aimed to identify key factors that influence whether an individual earns more than $50K annually, supporting data-driven decision-making and predictive modeling.