AllLife Bank Loan Prediction

Supervised learning classification project. AllLife Bank wants to identify which customers are more likely to purchase a personal loan.

AllLife Bank Customer Segmentation

Given a dataset covering the characteristics of AllLife Bank customers, this report separates them into clusters of similar peers. This ultimately results in three clusters: high net worth, mid-tier, and low credit limit customers.

ANN - Predicting Customer Churn

Given a dataset with customer information from the bank, a neural-network-based classifier model will be implemented to predict whether or not a customer will leave.

Thera Bank Customer Churn Prediction

Create a classification model to help a bank improve its services and retain their customers.

Plant Seedling Classification

Agricultural modernization project using machine learning for plant and weed classification. Achieved over 90% accuracy with computer vision models on a dataset of plant and weed images, streamlining plant monitoring and identification processes, and saving substantial time and resources.

Confidential Project: Poverty Index Development and Classification at Township Level

Using machine learning and diverse datasets, a new township-level poverty index was created, based on a 2017 World Bank framework. Provided data and model documentation, along with a user-friendly interpretability toolkit, providing a transparent, data-driven view of poverty distribution.