Mohammad Farhat

As a Master’s student in Big Data Analytics at the University of Michigan, Ann Arbor, I am passionate about leveraging data-driven insights to solve complex problems. With a Bachelor’s degree in Information Technology, I have developed a strong foundation in programming, data processing, and analytical techniques. My academic journey has fueled my interest in applying machine learning, data visualization, and predictive modeling to real-world challenges. I am actively seeking internship and full-time opportunities where I can apply my skills in data analytics, machine learning, and business intelligence to drive impactful solutions.

am a Master’s student in Big Data Analytics at the University of Michigan, Ann Arbor, with hands-on experience in data analysis, project management, and quality assurance. My work as a Project Management Intern at Robert Bosch LLC involves risk assessment, resource allocation, and quality assurance. Previously, as a Data Analyst Intern at Avita Carpeting, I developed data-driven solutions that improved operational efficiency by 20%. My experience spans across industries, including HR at The Borgen Project and quality assurance at Datamatics Global Services. I am actively seeking internship and full-time opportunities in data analytics, machine learning, and business intelligence to apply my expertise in data-driven decision-making.

I am currently pursuing a Master of Science in Information - Big Data Analytics at the University of Michigan, Ann Arbor, with a 3.97 GPA, expected to graduate in May 2026. I also hold a Bachelor’s degree in Information Systems Management from the University of Michigan-Dearborn, where I gained expertise in data analysis, statistical modeling, and machine learning techniques. Through academic projects such as COMPAS Algorithm Analysis and U.S. Work Visa Lottery RStudio Analysis, I have applied data preprocessing, regression models, and predictive analytics to solve real-world problems.