Currently pursuing a double degree in Applied Computer Science at Concordia University in Canada and Aerospace Engineering at IPSA Toulouse, I’m passionate about machine learning, deep learning, and artificial intelligence. My background in aerospace engineering has given me a solid foundation in data analysis and complex problem-solving.I’m focused on expanding my expertise in AI technologies to tackle real-world challenges. While fully engaged in my studies, I’m open to new opportunities and look forward to collaborating on innovative projects in the field of AI and data science.Data Science, Machine Learning, Deep Learning, Data Analysis, Big Data, Artificial Intelligence (AI), Automatic Learning, Natural Language Processing (NLP), Computer Vision, Neural Networks, Predictive Algorithms, Statistical Modeling, Supervised/Unsupervised Learning, Data Mining, Data Exploration, Advanced Analytics, Dashboards and Data Visualization (e.g., Tableau, Power BI), Tools and Technologies: Python, R, SQL, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Jupyter Notebook, Git, Docker, Hadoop, Spark, AWS/Azure/GCP (for cloud computing), Skills and Concepts: Database Management, Data Cleaning and Preparation, Feature Engineering, Model Selection, Cross-Validation, Hyperparameter Optimization, Model Evaluation, Deep Learning, Data Security, AI Ethics, Application Sectors: Fintech, Healthcare, E-commerce, Industry 4.0, Automotive, Aerospace, Energy.