Naman Bareja

Background

About Naman Bareja

As a Data Science graduate student and Research Assistant at Columbia University, I specialize in applying advanced NLP and deep learning techniques to uncover actionable insights from complex, real-world data—spanning social media, bioinformatics, and public health. With a B.Tech in Mathematics and Computing and hands-on experience developing predictive models, I thrive at the intersection of technical rigor and impactful storytelling. My toolkit includes Python, R, MATLAB, C++, SQL, and Tableau, enabling me to build robust data pipelines and craft compelling visualizations. My work at Columbia’s Mailman School of Public Health leverages NLP models like RoBERTa to analyze behavioral patterns in online communities, supporting interdisciplinary teams in translating data into better health outcomes. As President of the Data Science Institute Student Council, I lead initiatives that enhance student engagement and academic excellence, while my teaching assistantship allows me to mentor peers in cutting-edge topics like transformer models and attention mechanisms. Eager to collaborate on projects in NLP, bioinformatics, and data-driven problem-solving, I bring curiosity, leadership, and a drive to bridge the gap between data and decision-making. Let’s connect and explore how we can use data to create real-world impact!