I am currently a Master's student in Data Science at Pace University with a strong foundation in machine learning, data visualization, and data analytics. With experience in building predictive models, customer segmentation, and sales forecasting, I am passionate about turning complex data into actionable insights that drive strategic decisions.Throughout my academic journey, I have worked on various projects, such as crime prediction analysis, customer behavior modeling, and sales trend analysis, achieving measurable improvements in prediction accuracy and business outcomes. I am proficient in Python, SQL, and machine learning libraries like Pandas and NumPy, and skilled at using visualization tools like Power BI and Tableau to communicate data insights effectively.I am actively seeking internship opportunities in data science and analytics to leverage my technical skills and contribute to real-world projects, while further enhancing my expertise in applying data-driven approaches to solve business problems.