Repositories
Darren-chan-jr/Financial-Advisor-Matching-Model---Datathon-Project
This project was developed as part of NUS Datathon, where the objective was to build a machine learning model that recommends the most suitable financial advisors to customers. By leveraging customer demographics, policy details, and advisor performance data, the model aims to improve policy conversion rates in the financial services sector.
Darren-chan-jr/Databusters-Economic-Contraction-Prediction
This project explores the use of machine learning to predict economic contractions based on various economic indicators. Two models, Random Forest and LSTM, are implemented and compared. This repository contains the code, data, and analysis for the Databusters challenge.
Darren-chan-jr/Darren-chan-jr
Config files for my GitHub profile.