Edeh Chika Joy

The analysis of a customer dataset to identify key factors influencing customer churn, create visualizations to explore the data, and build a predictive model using machine learning. The goal is to extract actionable insights and present my findings in a comprehensive report.

A Lost and Found web app that ensures easy recovery of lost items in the city of Oulu.

It is a interactive and emotional human-like text and voice-based Chat app that reads your emotions, listens and offer support. It solves the problem of loneliness, isolation and emotional burnout.

A dockerized Toyota data feeder application which playbacks actual car data in real-time and then sends it to an MQTT server.

This project is a TODO List application implemented using **microservices** and deployed on Rahti (OpenShift). It demonstrates the interaction between three main services (User, Task and Notification services).The project uses Docker for containerization and Mosquitto as the MQTT broker.

Config files for my GitHub profile.