Product recommendation
Hemanth Ganta
0
Data Visualizer
Data Analyst
ML Engineer
Azure
Azure SQL Database
Databricks
Customer segmentation analysis using K-means clustering
and RFM (Recency, Frequency, Monetary) analysis to identify distinct
customer groups and improve marketing strategies. Utilized
correlation matrix and K-nearest neighbors (KNN) algorithms to
create a product recommendation model, enhancing customer
engagement and sales
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Posted Jan 27, 2024
Conducted customer segmentation using K-means clustering and RFM analysis; created a product recommendation model with KNN, boosting sales and engagement
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Data Visualizer
Data Analyst
ML Engineer
Azure
Azure SQL Database
Databricks
Hemanth Ganta
Data Engineer
End to End cloud solution
3 Dimensional Visualization