OTMANE RYAN

Mission 1 – Continual Learning in Computer Vision
Applied research project on incremental AI focused on training models that learn new classes without catastrophic forgetting.
Designed and implemented Python & PyTorch tools to automate image data preparation, training, and evaluation pipelines.
Conducted a comparative analysis of state-of-the-art continual learning methods, identifying key strengths and limitations.

Mission 2 – Business Opportunity Gain/Loss Analysis
Analyzed won and lost business opportunities using Power BI and Power Query.
Identified key success factors and developed interactive dashboards to support strategic decision-making.

Statistical Analysis & AI Fairness Research
Developed Python scripts to perform statistical tests on datasets within an internal company platform.
Conducted statistical analysis using ANOVA, organized and visualized results through dashboards (hypothesis testing, test statistics, p-value comparison, and conclusions).
Researched AI fairness by analyzing competitor approaches (fairness metrics, visualizations, and bias mitigation techniques) and authored technical articles to recommend relevant features for integration into the company’s data processing and machine learning platform.