Mohamed

Established data scientist with over 3 years of experience applying machine learning and advanced analytics to drive measurable business value. Adept at employing data mining, modeling, statistics, and visualization tools to extract powerful insights and enable data-driven decision-making.

• Domain Expertise: Healthcare, sports, finance, and engineering. Skilled at tailoring analysis to industry-specific challenges.

• Technical Skills: Python, SQL, Git, Tableau, TensorFlow, OpenCV, Spacy, Langchain, Jira, AWS SageMaker, REST APIs, CI/CD pipelines, Docker, Kubernetes.

• Methodical Problem Solver: Strong critical thinking abilities to explore data, build predictive models, validate results, and clearly communicate actionable insights to stakeholders.

• Data Science Specialties: Machine learning, deep learning, computer vision, NLP, reinforcement learning, segmentation, forecasting, Generative AI.

• Education: M.Sc in Data Science and AI from the University of Liverpool (Distinction), B.Tech in Chemical Engineering from Anna University

Passionate about leveraging data to unlock hidden opportunities and elevate decision making. Excited to join a progressive team tackling complex challenges through innovation and analytics. Eager to make meaningful contributions as a data science thought leader. Please reach out to discuss current data science openings and collaborations.