People / Students / Class of 2025
Truong Vo's passion for combining engineering with data science began during his undergraduate studies at Drexel University, where he earned a degree in Chemical Engineering with a minor in Mathematics. His early exposure to topics like machine learning, stochastic processes, and optimization sparked his interest in applying data-driven solutions to complex problems across various industries. After completing his bachelor's degree, Truong worked as a Product & Quality Engineer at Davlyn Group, where he applied advanced statistical methods and Six Sigma principles to improve manufacturing processes. His work involved designing experiments to test new material suppliers and optimize product durability, leading to a 20% reduction in material costs. This experience strengthened his skills in process optimization and data-driven decision-making, fueling his desire to explore machine learning and AI applications further. Truong's enthusiasm for large-scale data analysis led him to Terumo Medical Corporation, where he interned as a Process Improvement Engineer. There, he tackled a 20GB production dataset, utilizing feature engineering and dimensionality reduction to build predictive models for quality control. His work with LightGBM classifiers and hyperparameter tuning resulted in significantly improved predictions, underscoring the power of data science in industrial settings. Truong continued to hone his machine learning expertise through hands-on research. He worked on scalable machine learning models using distributed computing systems like Apache Spark and explored advanced optimization methods such as stochastic gradient descent and adaptive learning rates. His research further expanded his knowledge in deep learning and its applications to both image and sequence data. Through the Master’s program in Machine Learning and Data Science at Northwestern University, Truong aims to deepen his expertise in full-stack data science, focusing on the entire data science pipeline, from data collection and analysis to model deployment and system integration. His goal is to become an innovation leader in the data-centric industry and to achieve his long-term objective of developing and deploying transformative AI solutions that solve real-world challenges across various sectors.
