As a data science and analytics professional, I specialize in delivering comprehensive solutions that encompass advanced biomechanical data analysis, predictive modeling, and sentiment analysis. I have developed sophisticated models and algorithms using Python and R, transforming complex datasets into actionable insights that drive performance improvements. My work involved managing extensive datasets from platforms like Traq, Trackman, and Kinatrax, leveraging AWS and Digital Ocean for data handling and visualization. Additionally, I have engineered PostgreSQL database blueprints to ensure efficient data management and scalable business solutions.

My portfolio includes a range of impactful projects, such as image classification for indoor scene recognition and the CAS Predictive Modeling Case Competition, where I developed a model to optimize renters' insurance costs for college students. I excel in employing advanced data visualization techniques to translate complex data into strategic insights, enabling evidence-based decision-making. My work involves creating automated data pipelines and utilizing machine learning models to enhance operational efficiency and accuracy. Through these projects, I have honed my skills in leveraging data science and analytics to provide innovative solutions that address real-world challenges.