Abdullah Mohammad

Managed secure entry/exit and database records for 60+ staff and visitors per shift, ensuring legal, regulatory, and company policy compliance. Supported investigations into incidents, collaborated with operations and IT for maintenance and troubleshooting.

Analysed over 103,000 passenger records to support financial analysis, risk identification, and regulatory compliance for business reporting and quality assurance. Built and validated predictive models including Artificial Neural Networks (ANN) achieving 84% accuracy, delivered actionable insights in written reports to inform policy and process improvement.

Assisted in creating data lists and datasets for analysis and reporting, using Boolean string search for candidate research. Communicated effectively with people from different backgrounds, enhancing collaboration and client service.

Managed daily banking operations including invoice management, rota scheduling, and team coordination, delivering accurate payments and supporting a turnover of £6k+. Oversaw cash management and record keeping, maintained compliance with company policies, and provided back-office support for finance and operations.

Developed predictive models ANN (Artificial Neural Networks) and regression for business and finance datasets (103,000+ records), focusing on risk, settlements, and reporting. Key modules included Personal Effectiveness, Data Driven Decisions, Applied Modelling, Big Data & Cloud.

Grade: 3.33/4.00 (UK equivalent 2:1)

Gained expertise in data analysis, report writing, and collaborative project delivery, with a focus on media and communication skills. Key modules included Database Management, Excel for Business, Programming, and Data Structures.