Consumer Banking Application

The data-set is related with direct marketing campaigns (were based on phone calls) of a banking institution. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed. The goal is to predict if the client will subscribe a term deposit

Retail Banking system is a microservice based web application which has been built using Java-8, Spring Boot, H2-Database and Angular 8. It has two types of end users, first the employee and second the customer. All the operations related to banking can be performed in this application.

Retail Banking Management website with Flask

The data-set is related with direct marketing campaigns (were based on phone calls) of a banking institution. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed. The goal is to predict if the client will subscribe a term deposit

Built an end-to-end banking CRM analytics solution using Power BI and DAX to segment customers, recommend personalized offers, and visualize key KPIs for marketing optimization.

QPEAT stands for Quick Payments Employing Authenticated Tokens... and Call4 represents an API platform upon which users will be able to process their day to day operations including but not limited to sending webhook POST request triggering remote real-time communication with client servers.

End-to-end banking data pipeline. Built with Python, Pandas, and NumPy for processing, with interactive Tableau dashboards for financial insights

End-to-end SQL case study on retail banking operations — customer segmentation, transaction analysis, complaint SLA performance, and an executive KPI scorecard. Built on a synthetic Malaysian banking dataset.

A simple Retail Bank Management web-app built using Flask, SQLite

This repository provides digital tools for risk and compliance management. It helps teams track audit results and automate control testing. The project supports a modern approach to digital assurance.

End to End Data Pipeline for Modern Data Analytics Platform in Retail Banking | Side project 01/2024

M&T Bank is a regional bank holding company headquartered in Buffalo, New York, providing commercial and retail banking services to consumers and businesses across the eastern United States. As a subsidiary of M&T Bank Corporation (NYSE: MTB), it offers checking, savings, lending, mortgage, wealth management, and treasury services.

This project predicts which retail banking customers are most likely to churn and why, enabling targeted retention before account closure. It identifies high-risk demographic and behavioural segments with actionable insights to support retention strategy and preserve significant customer balance value.

Plataforma de monitoreo y decisión para riesgo crediticio de personas, con pipeline gobernado, alertas, estrés y RAROC.

PNC Financial Services Group is one of the largest diversified financial services institutions in the United States, organized around customers, communities, and employees offering retail and corporate banking, asset management, and residential mortgage services.

M&T Bank Corporation (NYSE: MTB) is a regional financial services holding company headquartered in Buffalo, New York that provides commercial and retail banking services through its principal subsidiary M&T Bank to consumers and businesses across the eastern United States.

Comerica Incorporated is a Texas-headquartered financial services holding company providing retail, commercial, and wealth-management banking across the United States. As of April 2026, Comerica does not publish a public developer API portal.

Kuda Bank — Nigerian neobank (the bank of the free)

This is an example of a supervised clustering model that segments customers based on their transactional behaviour