As a graduate student at Columbia University pursuing a Master’s in Applied Analytics, I am passionate about using data to drive business decisions and improve user experiences. With a solid foundation in Python, SQL, R, and a range of data analysis tools like Tableau, Power BI, and Excel, I excel at transforming complex datasets into actionable insights that deliver real-world impact.My experience spans various industries where I’ve implemented data-driven solutions, optimized processes, and created interactive dashboards that improve decision-making. From boosting order processing efficiency by 30% at Uni Bread through B2B data analysis, to driving a 19% average quarterly sales growth at Mumm with data forecasting, I consistently demonstrate my ability to enhance performance through data.In my recent projects, I leveraged AWS, Python, and machine learning to process large-scale datasets, develop AI-driven solutions, and create impactful visualizations that support business strategy. I’m eager to bring my skills in data analysis, visualization, and machine learning to a Data Analyst role, where I can contribute to user-centered design and data-driven decisions that drive success.