Cameron C

AI Resident

Apziva • Meio período

Apr 2026 - Present • 6 mos

- Selected for Apziva's mentor-led AI Residency programme, a project-based fellowship in which residents deliver client-style machine learning solutions under the guidance of industry-expert mentors. - Tackled a customer-satisfaction classification problem for a startup-client using a machine learning approach, working from Likert-scale survey responses to predict whether a customer was happy or unhappy with their service with the overall aim of improving customer churn. - Solved a term-deposit subscription-prediction challenge for a banking-client, using historical call-centre marketing data to identify which customers were most likely to subscribe to improve marketing campaign success. - Created and deployed a computer vision (CV) deep learning model used in a book page-scanning mobile application to detect page turns for enhanced scanning behaviour.

Postdoctoral Research Fellow

University of Birmingham • Período integral

Apr 2025 - Present • 1 yr 6 mos

- Tasked with taking atom-lithography technology out of the academic lab and into the semiconductor market through an industry spin-out, Lace Lithography. - Co-managed applied R&D in direct response to semiconductor industry requirements, developing new materials with clear commercial applications, while managing the interface between academic research and commercial deployment. - Coordinated technology transfer and cross-organisational stakeholder communication, keeping the early-stage spin-out's product development aligned with ongoing research.

Data Science Intern & Mentee

Intelligence Tech Solutions • Meio período

Nov 2025 - Feb 2026 • 3 mos

- Worked in a commercial data science team tasked with turning real business problems into deployable machine learning solutions. - Executed the full data science pipeline autonomously — data collection (via ~1000 customer survey responses), exploratory analysis, modelling, evaluation, and deployment. - Built production-quality models with Scikit-learn, TensorFlow, Keras and PyTorch, and using Git and Docker to keep deliverables reproducible and deployment-ready. - Delivered data-driven recommendations of customer sentiment towards a client’s software service for improved customer retention and targeted marketing campaigns that stakeholders could act on directly. - Worked to the same standards expected of a professional commercial data science team regarding data compliance and codebase maintainability.