Data Visualization Dashboard for Competitor Analysis

The project's goal is to set up a data visualization dashboard with Python and SQL for competitor analysis data. We have already built a competitive landscape for our company and have knowledge of our competitors but now we want to build some visualizations and do some analysis of them using data visualization. We need a pipeline that will be updated as our database updates. If time permits, we'll also work on deploying created scripts onto our servers and setting up some update notifications for the team to continuously get notified of when the pipelines and a log report of the run. The scope of this project only involves building a key set of pre-defined visualizations and a pipeline that takes the SQL data and then visualizes them in Python. This project will not include any competitor analysis or other related research.

Backend CRUD Application Development

The main goal for the project is to build a backend CRUD application for keeping track of internal private competitor data. This will involve developing a series of REST APIs for management of special internal databases using Node.js, React, and Express. The student will assist in the development of these APIs.

Custom Data Pipeline and Anomaly Detection Project

The main goal for the project is to design a custom data pipeline using Python and custom backend REST APIs with Express, and then implement custom ML algorithms for anomaly detection. The project will involve researching data pipelines, designing and implementing them, and finally developing and integrating custom ML algorithms for anomaly detection.

Competitor Behavior Analysis Web Application

The main goal for the project is to have students work on a full-stack web application designed specifically for competitor behavior analysis. The students will need to help build a series of private features onto the Express, React, and Node.js application. This will involve working with the Puddl Software Ltd. team to understand the requirements and then building and presenting the finalized features.