Mounir Khallouq

• Recognition of necrosis on leaves for a laboratory: - Image processing - Image segmentation with OpenCV - Image pre-processing pipeline - Convolution filter to determine mushrooms on the leaf - Model with U-Nets architecture to determine necrosis Prediction of opinions on projects for a city: - Data normalization - Processing pipeline - Classification model (SVC, KNN, Bagging, Adaboost, GradientBoosting)

• Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
• Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordinations.
• Set up SQL database on cloud servers to store client data for query analysis.
• Built company A/B testing frameworks to test model quality.

• Development and implementation of an art recognition system based on a Deep Learning Framework