I am Mohamed Soulaimen Hammami, a Data Scientist and DevOps Engineer based in Sfax, Tunisia. My educational background in Mathematics and Physics, coupled with a degree in Computer Science Engineering, has equipped me with a diverse skill set to excel in both Data Science and DevOps.
Data Science & Machine Learning:
Proficient in Python, OpenCV, TensorFlow, and PyTorch.
Experienced in extracting and processing data from various sources.
Skilled in building garment segmentation, image classification models, and recommender systems.
Accomplished in NLP, sentiment analysis, and social media data analysis.
Dedicated to delivering scalable and optimized solutions.
DevOps & Cloud Computing:
Expertise in defining AWS EKS cluster architectures.
Proficient in Docker, Kubernetes, and CI/CD pipelines.
Managed cloud infrastructure for horizontal and vertical scalability.
Proficient in Prometheus and Grafana for monitoring.
Additional Skills:
Strong background in C/C++, ESP32, and Arduino for embedded systems.
Fluent in Arabic, French, and English for effective communication.
Committed to continuous learning and innovation, I stay updated with industry trends. My experience in data-driven decision-making, automation, and cloud infrastructure management has been validated by past roles.
I am passionate about tackling challenging projects that demand a blend of data science and engineering skills. I am eager to collaborate with clients, leveraging my expertise to bring their vision to life.
For dynamic solutions in Data Science and DevOps, I am here to help you achieve your goals. Let's embark on exciting projects together.