Naomi Moris

Computer Science graduate beginning an MSc in Applied Statistics & Data Mining at the University of St Andrews, with a strong interest in data, technology and digital transformation.

Experience using Python, SQL and MATLAB, with practical project experience in software development, cybersecurity, testing and data management. Developed strong analytical and problem-solving skills through individual and group projects, including the development of a Python-based ARP spoofing detection tool. Collaborative, adaptable and detail-oriented, with experience working to deadlines, learning new systems and contributing effectively within a team.

Mail Sorter at Aberdeen MC (2025-01 – 2026-01)

• Worked accurately in a high-volume, time-sensitive environment while maintaining attention to detail
• Followed structured processes and adapted quickly to new operational systems and requirements
• Demonstrated reliability and organisation while working to demanding deadlines as part of a team

Teaching Assistant at Primary School (2021-09 – 2021-11)

• Supported classroom activities and communicated effectively with staff and pupils
• Developed organisation, patience and adaptability in a team environment

MSc in Applied Statistics & Data Mining – University of St Andrews (2026-09 – 2027-09)

BSc in Computing Science – University of Aberdeen (2023-09 – 2026-07)