As a Data Analyst, I do more than just collect and analyze data; I tell a story. With my strong business insights, I understand that the best models are those that are closely aligned with the product’s needs.I have worked as a Student Consultant at Duke University, where I applied my skills in R, Python, and SQL to utilize R for statistical anomaly detection on ABB's financial data, identifying significant trends. I applied TF-IDF to extract key discussion points from earnings call transcripts and conducted sentiment analysis with 90% accuracy to assess communication tone. Additionally, I developed a predictive framework to forecast future inquiries, enhancing strategic response planning. I recently completed a Master of Science in Quantitative Management at the Fuqua School of Business, focusing on data-driven decision-making and business analytics.In my recent projects, I have devised and executed A/B testing strategies, developed and validated predictive models, and created compelling visualizations to drive data-informed decisions for eco-conscious investors. Additionally, I have collaborated with business analysts and project managers to optimize and reduce the operational costs of model implementations.I am passionate about using data science to solve real-world problems and create positive social and environmental change. I believe that I can bring diverse perspectives and experiences to the team, along with a strong work ethic and a growth mindset.