As a Data Science Intern at Magnify Access, I apply my passion and skills in data and technology to lead projects focused on improving workplace accessibility and inclusivity for individuals with disabilities. Utilizing Python, Scikit-learn, and TensorFlow, I actively engage in data analysis and visualization using Pandas and Matplotlib, resulting in a notable 20% increase in workplace accessibility and a 15% enhancement in inclusivity.In my prior role at OESON, I demonstrated expertise in statistics, machine learning, and proficiency in Python, SQL, Java, and cloud support. Notably, I developed a predictive model for customer churn, achieving an impressive 85% accuracy and reducing churn rates by 15%. Additionally, I created dashboards for monitoring key performance indicators, improving decision-making processes, and enhancing team efficiency. My contributions included spearheading initiatives within an 8-person team, resulting in a 20% increase in team productivity and the successful execution of high-impact data science projects.Currently pursuing a Bachelor of Science in Computer Science from Lassonde School of Engineering at York University, I have built a robust foundation in programming, algorithms, databases, and software engineering. Supported by certifications in SQL, Python, and enterprise design thinking, these skills enhance my analytical, problem-solving, and creative capabilities. As I continue to develop as a data scientist, my goal is to leverage data and technology for innovative and impactful solutions across diverse domains and industries.