People / Students / Class of 2024
Sameera Boppana recently graduated from the University of Pittsburgh with a B.S. in Computational Biology and a minor in Applied Statistics. Throughout her academic journey, Sameera demonstrated a strong passion for integrating computer science, statistics, and biology with data science, revealing her potential for a promising future in the data industry. During her time at the University of Pittsburgh, Sameera made significant contributions to the Computational & Systems Biology Lab, collaborating closely with Dr. Benos. Her involvement spanned from data cleaning to in-depth exploration of the complexities of the Left Truncated Mixture of Gaussians (LTMG) Model. Her proficiency in developing causal graphs to model gene expression levels showcased her analytical skills and dedication to evidence-based approaches. Eager to explore the broader applications of data science, Sameera embraced an opportunity with The Cigna Group's Data Science Practice Team. There, she actively engaged in developing, validating, and testing machine learning models, with a focus on scaling and deploying these models to an OpenShift Container leading a full life cycle of problem to solution. Her exceptional work on an ensemble model, resulting in higher accuracy, earned recognition from her peers. Additionally, Sameera played a vital role in enhancing data quality across the organization, exemplifying her commitment to delivering excellence. Sameera aspires to become a proficient Data Scientist, applying data-driven insights to tackle complex challenges and drive positive change across industries. Her interests include exploring recent break-throughs like large language models, recognizing their potential to shape innovative data-driven solutions. As a graduate student at Northwestern University, Sameera eagerly looks forward to gaining profound insights into these cutting-edge technologies. She envisions leveraging their potential to revolutionize data utilization and create meaningful and transformative outcomes across various industries.
