An organized and dependable financial-background candidate successful at managing multiple priorities with a positive attitude. Experiences working in global company, US-listed company. A good knowledge in various industries such as manufacturing, eco-friendly waste management, automotive, retail and financial industry. A trilingual individual with an aptitude to communicate effectively with key stakeholders. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organization brand. Seeking full time / minimum 12- month fixed contract position to utilize relevant knowledge and experience for business efficiency in a dynamic industry.
• Established routine inspections to monitor standards of cleanliness and developed and implemented improvement methods to meet evolving business needs.
• Maintained adequate supplies of cleaning materials and equipment and placed orders to conserve stock levels.
• Communicated with site manager, nurses, carers and other staffs to specify extra tasks beyond daily routines and emergencies. Assigned tasks in order of priority.
• Delivered catered food and supplies to facility for on-time set-up. 09/2021 to 07/2022
• Prepared dishes with nice design in the limited time during high-volume shifts.
• Cleaned and organized kitchen areas to delivery an efficient, tidy and professional service.
• Prepared breakfast, desserts and cold dishes for all residents and staffs as Assistant Cook.
• Prevented food spoilage by monitoring stock’s expire date and applied right labels.
• Prevented cross-contamination from utensils, surfaces and pans when cooking and plating meals for food allergy sufferers. • Assisted chefs with food preparation to ensure delivery meal on time.
Watson Analytics predictive model, 11/2018, IBM Tool, Worked in group to implement business intelligence solutions and produced a report to explain the solution by demonstrating practical skills to analyze BI requirements within healthcare setting., Applied Watson Analytics to develop innovative healthcare data by using appropriate BI dashboards that are with the right components for proposed solution., Determined recommendations that are supported and justified by evidence with visual samples thus achieving 80% in final result.