Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.
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Updated
Dec 12, 2020 - Python
Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.
# Customer-Analytics-and-Behaviour-Prediction Customer relationship management is one the most significant managerial tasks in organizations. Many companies may usually adopt a strategy that is known as target marketing. The marketing managers who may consider using target marketing will usually break the market down into groups and to target th…
Introduction to create a CLI and custom Python package. The package contains some functions to apply RFM and BG-NBD.
Customer Segmentation Project
Generated customer groups by giving each customer a quantitative score based on the Recency, Frequency & Monetary Value of their historical purchases using the K-Means Clustering algorithm.
Trained a Probabilistic Model to forecast the frequency of purchases and how likely a customer is to churn in a given time period using their historical transaction data.
Customer targeting model to optimize promotion targeting, on simulated data from Starbucks. (work in progress)
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