Designing an analytical model to evaluate complaints
About this project:
Evaluating complaints to improve operational efficiency.
"Notting Hill Genesis has seen remarkable success through the Nurture Programme, leveraging emerging talent to drive impactful data science initiatives."
Marie May
Head of Nurture
- Reach out to Marie to find out how Nurture can help your business to achieve goals
Executive Summary
Analytical Model | Evaluating Complaints
Objective:
Over a 3 month placement, multiple students contributed to key projects, bringing innovation, technical expertise, and a passion for data-driven solutions.
Solution:
One student, whose outstanding analytical skills in evaluating complaints led to a full-time offer.
His contributions have significantly improved operational efficiency, demonstrating the programme’s ability to deliver business-ready professionals.
Eden Smith has consistently provided us with highly talented students from university who have significantly enhanced our data science projects.
Results:
Long-Term Value: Beyond the initial placement, Mohsen has continued to thrive, delivering exceptional work and proving to be an invaluable asset.
His journey highlights the programme’s effectiveness in not only identifying but also retaining top-tier talent, ultimately strengthening organisational capability in data science.
