Elyes Omri

◦Managed and configured HRIS solutions (ADP Décidium & ACE) for large enterprise clients.
◦ Resolved payroll anomalies and optimized HR workflows via ServiceNow ticketing system.
◦ Configured payroll rules, employee populations, and compliance processes.
◦ Improved reliability of payroll processing through testing, audits, and issue resolution.

Developed a Django web platform for government relationship management, enhancing compliance and operational efficiency for Saudi companies. Integrated external APIs and utilized Python for data processing and insights.

Developed an Anomaly Detection system for financial time series data using SQL Server and an LSTM Autoencoder model, improving detection accuracy significantly. Created a Django application for real-time anomaly labeling and data visualization.

Conducted research on multi-label seabed image classification using various deep learning models, achieving high validation accuracy. Authored a research paper detailing methodologies and results.

Pursuing a Software Engineering degree with a specialization in Data Science, focusing on the application of engineering principles to software development and data analysis.

Completed preparatory studies for engineering in Physics and Technology, successfully passing the National Entrance Exam for Engineering Schools.