Training & Competency Development Coordinator - Africa
GE Healthcare
Total years of experience :8 years, 4 Months
- Acting as Africa Training Leader from February to August ’19.
Built regional yearly individual level training plan for 500+ employees.
Aligned with all stakeholders to create a comprehensive process map.
Generated training cost estimation matrix; in cooperation with finance team, to ensure accurate cost reporting and forecasting.
Created a training portal with all automation tools (TNA, execution and ROI); each has many reporting levels that satisfies management needs for clear reports and decision making. The portal was globally recognized as best practice and used in Europe, Australia, New Zealand, Asia and Africa.
Maximized training localization efforts.
Awarded in my first year with an “Above and beyond” award for my efforts in building an automated tool beside my core job.
- Built an online training portal for technical competency assessment, training demand collection with reporting system to management.
Building, updating & maintaining the backend dB using SQLServer.
Building, implementing & deploying frontend using HTML, JS (MS VisualStudio).
- Planning & managing execution of training plans and programs as per the regional pre-set policies and procedures.
- Maintaining global connections and working closely with them.
- Coordinating all the training arrangements covering all the needed logistics for the trainees, training materials, premises, etc.
- Developing
• Ultrasound L1 technical remote support
• Preventative Maintenance leader
• Handling incoming customer requests (new/existing) on daily basis
• Side Tasks:
Data Validation - Developing SQLServer reports - Building windows/web applications
• Nurturing existing business relationships and growing current implant programs
• Promoting excellent clinical practice by guiding the surgical teams in the operating theatre
• Meeting and exceeding sale forecasts and budget
• Attending medical exhibitions and conferences
• Providing on-going training and clinical support for your customers which will include surgeons, hospital staff, speech pathologists and audiologists
• Raising awareness of all Cochlear solutions amongst affiliated healthcare professionals
Generate leads for the agency, to secure high level of on-going customer satisfaction, to handle job orders between the external clients and the various departments and to coordinate promotional campaigns for agency clients.
• Receiving new customers, by checking the medical documents and their financial capabilities; guide them to most suitable solution
• Receiving Existing customers’ inquiries by providing full needed information
• Receiving Existing customers’ complaints, troubleshooting their issue and taking proper actions when needed
• Following up with doctors and medical institutions; delivering training on new products if available and resolving issues if found
• Handling incoming requests from customers and ensure that issues are resolved both promptly and accurately
• Gathering customer information and fulfill customer needs
• Educate the customer where applicable to prevent the need for future contacts and document the interaction through contact tracking
• Provide quality service and support in a variety of areas
• Partner with technical teams to coordinate truck rolls to the customer
• Handling incoming requests from customers and ensure that issues are resolved both promptly and accurately
• Gathering customer information and fulfill customer needs
• Educate the customer where applicable to prevent the need for future contacts and document the interaction through contact tracking
• Provide quality service and support in a variety of areas
• Partner with technical teams to coordinate truck rolls to the customer
About the Program Demand for professionals skilled in data, analytics, and machine learning is exploding. A recent report by IBM and Burning Glass states that there will be 364K new job openings in data-driven professions by 2020 in the US. Data scientists bring value to organizations across industries because they are able to solve complex challenges with data and drive important decision-making processes. 39% of the most rigorous data science positions require a degree higher than a bachelor’s. This MicroMasters® program in Statistics and Data Science was developed by MITx and the MIT Institute for Data, Systems, and Society (IDSS). It is a multidisciplinary approach comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization. The credential can be applied, for admitted students, towards a PhD in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world. Anyone can enroll in this MicroMasters program. It is designed for learners who want to acquire sophisticated and rigorous training in data science without leaving their day job but without compromising quality. There is no application process, but college-level calculus and comfort with mathematical reasoning and Python programming are highly recommended if you want to excel. All the courses of this program are taught by MIT faculty and administered by Institute for Data, Systems, and Society (IDSS), at a similar pace and level of rigor as an on-campus course at MIT. This program brings MIT’s rigorous, high-quality curricula and hands-on learning approach to learners around the world—at scale. What You'll Learn Master the foundations of data science, statistics, and machine learning Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks Master techniques in modern data analysis to leverage big datasets; use python and R skillfully to analyze data
Systems & Biomedical Engineering Department (SBME), Faculty of Engineering, Cairo University – Present Biomedical Engineering Pre-Master’s Degree
Systems & Biomedical Engineering Department (SBME), Faculty of Engineering, Cairo University – 2009 Degree of Bachelor of Science (B.Sc.) in Biomedical Engineering
