Data analytics enthusiast with hands-on experience in R, Python, and Excel, specializing in statistical modeling, data visualization, and forecasting. Proven ability to analyze large datasets (5,000+ records) using regression models(Poisson, Negative Binomial) and financial modeling (capstone project) to drive actionable business insights. Skilled at translating complex data into strategic recommendations, demonstrated through volunteer roles optimizing event efficiency by 10% and streamlining inventory management. Eager to apply data-driven decision-making, critical thinking, and effective communication in a Data/Business Analyst internship