Segment the customer data via unsupervised learning techniques.
About the project:
This project focuses on applying unsupervised learning techniques, specifically K-Means and Hierarchical Clustering, to perform customer segmentation for GATE Bootcamps. The goal is to identify distinct groups of customers based on various attributes such as their geographical location, course preferences, engagement level, and demographics. Using this segmentation, a recommendation system will be built to offer personalized bootcamp suggestions and targeted marketing strategies. By understanding customer segments, GATE Bootcamps can provide more tailored experiences and improve user retention, satisfaction, and engagement.
About the company:
GATE Bootcamps offered by Moyyn, provide hands-on, experiential learning in high-demand fields like AI, Product Management, and Digital Marketing. Designed to help students, job seekers, and career changers build job-ready skills, these bootcamps offer real-world projects and expert mentorship, equipping learners to succeed in their careers.
Tools you will learn and work with:
– Python
– Microsoft Excel
– ChatGPT
– NLP Techniques, K-means, Hierarchial clustering
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Experienced Data Scientist, Product Owner, and PhD graduate from IIM Ahmedabad and has worked 10+ years in various top companies in the world like Amazon, FLIX, Zalando, HCL. Trained more than 1000 students till date.
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