Categorizing and Segmenting User SMS Data Using NLP Techniques

Case Study: Categorizing and Segmenting User SMS Data Using NLP Techniques

About the Client

Our client is an Infrastructure Neo Bank that is designed to redefine your banking experience and promote open banking. The client is building an employee neobank facilitating superior financial instruments and curated to perfectly fit the product to an employee's needs.

The Business Challenge

To segregate information across multiple platforms. Information such as Income and Expenses made. But, the lack of understanding, the way they have spent during the month, w.r.t the amount spent on Shopping, Travel, Entertainment, EMI, Insurance, and many more.

The extraction of key features, Merchant name identification and category mapping.

Visibility of spends done by an individual:

What Aptus Data Labs Did

This is a summary of what we delivered :

The Impact Aptus Data Labs Made

This is the impact we created with measurable outcomes for Backend and ML engine

The Business and Technology Approach

Architecture

Backend

ML Engine

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