Yusef Atteyih

– Led the analysis of business problems in business processes, requirements, and architecture, identifying improvement opportunities to support the President’s strategic goals.
– Played a key role in automating and integrating business processes by collaborating with stakeholders to align business strategies with technology solutions.
– Enhanced research capabilities by identifying academic experts in niche topics using tools like Scival, Scopus, and InCite Clarivate, aiding strategic research planning.
– Used web crawling to collect real-time data on universities’ bids and projects, supporting strategic development and decision-making.
– Conducted HR structure analysis using Excel and Python, offering insights that informed process automation.
– Developed and presented annual research productivity and impact reports, keeping stakeholders informed of academic initiatives.
– Supported policy-making by providing data analysis that influenced research incentive rules and transparent remuneration processes.
– Managed data for institutional budgeting, creating detailed reports for financial planning and sustainability.
– Maintained clear communication with the department director and university president, ensuring transparency and alignment with institutional goals.
– Demonstrated strong responsibility, motivation, and an analytical, creative approach to problem-solving.

– Spearheaded the integration and implementation of PURE, Elsevier’s research information management system.
– Provided expert advice on maximizing PURE’s potential for the university.
– Coordinated PURE’s integration with institutional systems, ensuring data consistency and interoperability.
– Directed the rollout of PURE, impacting over 800+ researchers and users.
– Collaborated with faculty, researchers, and IT teams to meet diverse research needs and ensure smooth adoption.
– Developed and led training sessions for faculty and staff to ensure proficiency with the new system.
– Conducted post-implementation reviews and feedback sessions, leading to system improvements.
– Established a strong relationship with Elsevier for timely support, updates, and system customization.
– Achieved a 400% user adoption rate within 3 months and a 100% increase in research documentation efficiency.

– Conducted in-depth analysis of business processes and systems to identify areas for improvement and optimization.
– Collaborated with cross-functional teams to gather requirements and define the scope of process enhancements and system integration projects.
– Designed and implemented new processes and systems in alignment with business goals and regulatory standards.
– Utilized tools like SQL for data analysis, Microsoft Power BI for data visualization, and Python for automating data processing tasks.
– Used BPMN tools such as Bizagi and Lucidchart for process mapping to clearly visualize and communicate improvements.
– Employed JIRA and Confluence for project management and documentation, ensuring effective collaboration and project tracking.
– Managed system change lifecycles from concept to testing, deployment, and post-implementation support.
– Created and maintained detailed documentation, including process maps, system specifications, and user manuals for training and operational continuity.
– Monitored and evaluated the performance of implemented solutions, regularly reporting to management and recommending further improvements.

– Annotated and labeled data following specified guidelines and procedures.
– Conducted quality assurance checks and corrected errors in the annotation process.
– Provided feedback to the data engineering team regarding updates, issues, and improvements to the annotation process.
– Assisted in developing and refining annotation guidelines.
– Collaborated with AI researchers and engineers to understand data requirements and resolve issues.
– Participated in regular training to stay updated on new annotation tasks or procedural changes.