My name is Lohidhar Kolla, and I am currently a Master’s candidate in Industrial Engineering with a concentration in Data Science at the University of South Florida. As an aspiring data scientist and industrial engineer, my academic and professional pursuits are anchored in the power of data analytics and its transformative potential in operational efficiency and decision-making. In my role as a Graduate Teaching Assistant, I am committed to imparting critical analytical and technical skills to students through courses in Probability and Statistics, Design of Experiments, and Technology & Finance. My teaching philosophy revolves around creating an interactive and supportive educational environment, leveraging tools like Python, Excel, and various data visualization techniques to not only educate but also to inspire innovation and a deep-rooted understanding of data science. My research interests are as multidimensional as my background in engineering, focusing on practical applications of machine learning, process optimization, and risk management. Through my projects, including a real-time COVID-19 tracking dashboard and participation in the Kaggle California Housing Competition, I seek to meld theoretical knowledge with practical execution, driving advancements in machine learning and predictive analytics. As a leader and community volunteer, I actively foster a culture of knowledge-sharing and inclusivity, whether it's through my presidency in the Data Science Club at USF or my involvement with the International Buddy Program. My goal is to continue to blend my data science expertise with my passion for leadership to contribute meaningfully to both the academic and broader community.