Building a Credit Score Classification Model

The company has gathered extensive banking and credit data over the years and now aims to boost efficiency by implementing a system to classify individuals into credit score brackets. This model will streamline decision-making and enhance financial management.

Supermarket Campaign Analysis

Developed a predictive model for a Supermarket's year-end sale campaign. The goal is to identify existing customers who might purchase a gold membership and analyzing previous campaign data to improve model performance and provide valuable business recommendations for optimizing strategy.

Time Series Analysis and Customer Segmentation on Electricity Consumption

This capstone project is part of the FTW Data Science Program in partnership with a local electric power distribution company. The main objective is to derive actionable insights and recommend targeted marketing campaigns from the customer segmentation and forecasted trends.

Leveraging Amazon Sales Data for Enhanced E-commerce Strategies (on-going)

This project analyzes a dataset of over 1,000 Amazon product ratings and reviews. By uncovering insights into e-commerce and exploring how customer feedback impacts sales. Using predictive modeling and sentiment analysis to extract meaningful information to optimize e-commerce strategies.