• Built a Worm detection model using YOLOv5, a deep-learning-based algorithm, to detect specific objects in a microscope stream. Utilized Python libraries such as pyTorch, OpenCV.• Analyzed and verified the model's performance to enhance results. Achieved a significant increase in mAP50-95, from 46.1% to 60.7%.• Improved the model's efficiency and performance by testing various algorithms and data augmentation techniques, resulting in an additional 15% increase in mAP50-95.

• Aggregated data from Maximo\Primavera6\Tempus using (SQL queries) to Power BI and developed qualitative and quantitative analysis reports with data visualization.• Used Power BI to develop comprehensive dashboards with analytical reports for other departments.• Project Experience: 1. EPD supply vs. demand estimation Model: Gathered requirements for estimation purposes, analyzed regular and irregular labor needs patterns, verified forecasting performance, and prepared detailed validation reports to support model improvement. 2. Analysis of the valid Human working hours: Identified the ratio between regular hours, overtime, and vacation hours to find existing trends, unusual periods, prolonged peaks and generated analysis report. 3. Forecasting outage demand in 2022 & 2023: Prepared reports with detailed analysis of past and present trends. Apply Regressions to predict possible future scenarios of outage demand vs Human Capital necessary.

• Excellent communication skills that produced an excellent advertising and marketing materials• Managed appointment and stablished client-relationship with great customer services skills• Great organizational skills that maintained and updated records of financial transactions and helped accountants by filling documents • Managed variety of administrative and clerical works and kept diaries and appointments notes. • Implementing and coordinating new administrative procedures such as logging or processing bills or expense