• Performed K-Means clustering technique on Mall Customer dataset via Python, predicting patterns of footfall in mall over demographic factors
• Used Elbow method via sklearn library in Python to find resulting number of clusters to be 5 thereby highlighting target customers
• >Presented developed storyboards via documentation to supervisors with suggested insights for increase in mall visitors