Data Science major with a solid foundation in mining and visualizing large-scale data sets and leveraging advanced Python-based tools such as Scikit-Learn, GeoPandas, and Folium to extract meaningful insights and deliver data-driven recommendations. My education in statistical analysis, exploratory data analysis (EDA), and predictive modeling empowers me to distill complex datasets into actionable business insights that drive growth and inform strategic decisions.Currently pursuing a Bachelor of Science in Data Science with a minor in Mathematics from The College of William & Mary, I have maintained a strong academic record, complemented by hands-on internships in diverse industries, where I have applied my skills in real-world settings. From mapping urban development patterns for real estate clients to conducting social media sentiment analysis for defense industry clients, I am adept at transforming data into clear, impactful visualizations and recommendations.I thrive on solving complex problems, whether working autonomously or as part of a collaborative team. My proficiency in programming languages like Python and SQL, coupled with my experience in data visualization tools like Excel, Google Sheets, and ArcGIS, allows me to approach challenges with a unique blend of technical expertise and strategic thinking.I am passionate about learning and growing in the field of data science, always seeking new opportunities to enhance my skills and contribute to meaningful projects. I am currently pursuing internship roles, so if you’re looking for a data-driven problem solver who can turn raw data into actionable insights, let’s connect!