Ubineer is seeking to enhance its Predictions Product. One or Two lucky student will work with our CEO by conducting a comprehensive analysis of our Predictions product, specifically focusing on creating Layers and Clusters. The goal of this project is to analyze our Machine Learning Estimates and compare them to actual results. The goal is to create an accuracy gage. Learners will apply their classroom knowledge of data analysis techniques to evaluate accuracy. This project will involve basic analysis techniques and is suitable for anyone who is seeking a role in Investment Banking, Trading or Equity Analysis, or a business analyst. By the end of the project, learners will gain practical experience in data analysis and user testing, contributing to Ubineer's ongoing efforts to optimize its data-driven strategies.

The deliverables for this project include a detailed excel spreadsheet that compares our estimates to consensus results. Create key insights and patterns that some of the largest investment professionals will use. The students will use our Layers, Clusters, and Predictions. Additionally, learners will provide a summary of user testing results on our platform, including feedback on usability and suggestions for enhancements. The final deliverable will be a presentation to Ubineer's CEO.