Data Categorisation and Risk Insights for Africa and Emerging Markets

Problem Statement The primary challenges identified are deficient data labeling and the inability to predict default due to insufficient data. These issues hinder you from making accurate predictions and understanding income patterns effectively. Objectives -       Conduct an in-depth analysis of the current data labeling process to identify points and areas for improvement. -       Utilize machine learning algorithms to identify patterns and accurately classify data. -       Develop an automated or semi- automated data labeling pipeline to minimize human errors and ensure consistency -       Determine Business Rules for Affordability