Mohammed Moiz Sayyed

AI & Data Science graduate with practical experience in machine learning, data analytics, and AI-powered applications. Built real-world projects involving fraud detection, decision-support systems, and intelligent workflow automation using Python, Streamlit, APIs, and machine learning frameworks. Passionate about solving business problems through data-driven insights, intelligent automation, and scalable AI solutions.

Data Science Intern - Prodigy InfoTech

(2025-07 - 2025-08)

• Performed exploratory data analysis and preprocessing on structured datasets using Python and Pandas.
• Worked on data cleaning, visualization, and analytical reporting workflows.
• Built analytical solutions to extract insights and improve data interpretation.
• Received Certificate of Completion and Letter of Recommendation for performance and project contribution.

Artificial Intelligence Project Intern - IBM SkillsBuild

(2025-12 - 2026-01)

• Completed applied AI project-based learning internship in collaboration with IBM SkillsBuild and CSRBOX.
• Developed AI Decision Copilot as capstone project using explainable AI concepts.
• Applied AI workflow design, visualization techniques, and intelligent decision-support logic.

B.Sc. - Data Science & Artificial Intelligence - Ramniranjan Jhunjhunwala College of Arts, Science & Commerce (2023 - 2026)