As a Data Science graduate student at the University of Michigan, I am passionate about transforming raw data into actionable insights that drive meaningful business outcomes. With a Master's degree in Data Science and a Bachelor's degree in Computer Science Engineering, I have a strong foundation in both the theoretical and practical aspects of data science.I have demonstrated my data engineering and analytics skills through various internships, where I contributed to impactful projects such as:Building robust data pipelines and dimension models in Snowflake for real-time case study analysis at QBrainX Inc.Automating processes and analyzing customer data to boost performance at Data Semantics (500+ HR hours saved, 15% marketing conversion increase, 10% customer retention).Developing a visually appealing website and assisting the research team to evaluate the functionalities of an integrated waste management decision-making tool at the University of Sharjah.I am proficient in Python, R, SQL, and tools like Tableau and Power BI, and I am always eager to learn new technologies and methods to enhance my data science capabilities. I am keenly interested in pursuing roles in Data Engineering and Data Analytics, where I can leverage my technical proficiency and collaborative approach to solve complex data problems and deliver value to the organization. Let's connect!