Aya Sulaq

• Design and implement AI, machine learning, and advanced analytics solutions
that facilitate data-driven decision-making across business units and enhance
customer insights, product strategy, and risk management.
• Collaborate with data engineering and business teams to translate business
requirements into scalable analytical solutions.

• Provided analytical insights, reporting solutions, and predictive modeling to
support data-driven decision-making in Consumer Banking.
• Collaborated with business stakeholders to translate requirements into
dashboards, reports, and analytical solutions, leveraging large-scale banking data
to deliver actionable insights for business initiatives.

• Analyzed Expected Credit Loss (ECL) data and gained exposure to IFRS 9 credit
risk modeling methodologies.
• Assisted the team in reviewing financial data, documentation, and regulatory
processes related to risk management and compliance.

• Collaborated with the data science team to deliver an AI-powered dashboard on
Oracle Cloud
• Learned about BI and project initiation and applied data science to create use
cases from data.