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ستحصلين على مبلغ 7 دولارات مقابل إجابتك على الاستطلاع.
Data Engineer / Machine Learning Engineer
Landmark Group
مجموع سنوات الخبرة :17 سنوات, 0 أشهر
• Spearheaded the development of AI and ML solutions, including chatbot and NLP applications,
enhancing customer engagement and optimizing user experience through data-driven insights.
• Led iterative development and A/B testing for product improvement, achieving a 22% increase in online
sales.
• Collaborated closely with cross-functional teams to translate business needs into AI-driven solutions,
aligning with strategic goals and improving overall project ROI.
• Architected and led API integration and microservices projects, ensuring seamless backend integration
with AI and ML components, including RESTful JSON services.
• Enhanced e-commerce platforms with personalization and recommendation systems, boosting
engagement by 25% and e-commerce revenue by 18%.
• Produced comprehensive documentation and enforced coding standards to maintain a high level of
code quality, reliability, and scalability across projects.
• Championed Agile and Scrum methodologies, fostering a culture of rapid iteration, feedback-driven
improvements, and continuous learning within the team.
• Managed and oversaw the development and deployment of 10+ predictive models and machine
learning algorithms; optimized marketing campaigns, resulting in a 20% increase in customer acquisition
and a 2.9 Billion AED annual revenue growth.
• Spearheaded the migration of over 600 Petabytes of data from Netezza on-premises to Microsoft Azure.
• Led a team of ETL Data Engineers, Data Scientists, ML Engineers, and BI engineers to ensure successful
delivery through careful planning and execution.
• Developed advanced dashboards and visualizations using Power BI and QlikView, providing critical
insights that enabled data-driven decisions and increased operational efficiency across various retail
channels.
• Keep updated with the latest machine learning, data science, and technology advancements and
incorporate them into our machine learning practices.
• Define and enforce best practices, standards, and processes for data science and AI projects to ensure
consistency and quality.
• Foster a culture of continuous learning and innovation within the Data team, encouraging professional
growth and exploration of new technologies and methodologies.
• Hire, train, and mentor data scientists, data, BI, and ML engineers to build a high-performing team.
• Managed a cross-functional team of 27 in 2 locations (Dubai "UAE" and Bengaluru "India"), ranging from entry-level QA analysts to senior automation and performance test engineers, and collaborated with business development, data science, product management, and operations.
• Launched and introduced performance testing at e-commerce for Landmark Group. Thus, it enhanced the server's capacity more than 10 times, raised the profits from 278 Million Dirhams per year to more than 1.4 Billion Dirhams per year, and prevented extra costs of adding additional servers.
• Designed training and peer-mentoring programs for the incoming members; decreased onboarding time for new hires by 50%.
• Overhauled the obsolete legacy source code of 8 production applications, resulting in increased usability and reduced run time performance by more than 85%.
• Initiated API automation testing, which saved more than 60% of the testing time by finding many bugs in the early phases.
• Promoted within 5 months for strong performance and organizational impact (1.5 years ahead of schedule).
• Launched and introduced performance testing at e-commerce for Landmark Group. Thus, it enhanced the server's capacity more than 10 times, raised the profits from 278 Million Dirhams per year to more than 1.4 Billion Dirhams per year, and prevented extra costs of adding additional servers.
• Participated in one of the most critical projects in Dubai. Analyzed, built, and delivered project 272 to digitalize 272 products and services to comply with the Dubai Smart Government vision.
• Participated in one of the most critical projects in Dubai. Analyzed, built, and delivered project 272 to digitalize 272 products and services to comply with the Dubai Smart Government vision.
• Implemented test-driven development, which helped me adapt quickly to new changes in a data-driven decision-making environment.
• Recommended an advanced automation framework, achieving an 80% reduction in testing time.
• Received a crystal pyramid as the best employee in 2011 against more than 6000 employees.
• Built an impressive and comprehensive dashboard for reporting, which delivered the necessary insights.
• Produced and implemented a system to troubleshoot technical issues automatically over the air, thus cutting down the call centers' load by more than 40%.
• Overhauled the obsolete legacy source code of two production applications, resulting in better productivity and minimized run time performance by 30%.
• Developed a machine translation software, that expanded the business small-to-medium client base by 35%.
• Analysed data for 3 systems and provided clean system requirement specifications which guided the entire team, and boosted efficiency.
• Established 2 applications for the air defence systems of the Egyptian army.
• Developed a machine translation software that expanded the businesss small-to-medium client base by
35%.
• Developed an Arabic OCR Optical Character Recognition software, taking into consideration the Arabic
morphology. This provided the lead to the business and raised sales by 8%.
- Summer training in OCR department.
- Developing Software using .Net 2.0 technologies.
M.Sc. in Computer Sciences and Information Systems Thesis Topic: “A Proposed Model for Enhancing Lexical Statistical Machine Translation”
B.Sc. in Computer Sciences and Information Systems