Mahdi Ranjbar

I am a highly motivated and skilled Machine Learning student with a strong background in data structures and data modeling. I have a deep understanding of math, probability, statistics, and algorithms, and I am able to write robust code in Python. I am well-versed in machine learning frameworks such as PyTorch, and I am familiar with libraries such as scikit-learn, pandas, numpy, etc. I am a quick learner and able to adapt to new technologies and programming languages. I am also a strong communicator and team player. I am confident that my analytical and problem-solving skills would be an asset to your team and I am excited to contribute my expertise and learn from your team.

As a student with a strong academic background in computer science and machine learning, I am excited to begin my career as a Machine Learning Engineer. While I do not yet have any professional experience in this field, I am confident in my abilities and eager to apply my knowledge and skills in a real-world setting. I am highly motivated to learn and grow as a professional, and I am excited for the opportunity to work with a team of experienced engineers to further develop my skills and contribute to meaningful projects.

I am currently pursuing a Master's degree in Artificial Intelligence at Paris Saclay University, and my coursework aligns perfectly with the requirements for this internship. My curriculum includes advanced courses in machine learning, deep learning, computer vision, natural language processing, and data mining.
I have also worked on several projects that have allowed me to apply my knowledge in a practical setting, and I have gained experience in data analysis, data visualization, and model optimization.