MCS Data Science students analyze athletes' biometric data
Professor Smita Ghosh and ten of her Data Science students are working with SCU Athletics to develop tools for accessing and analyzing biometric data of student athletes. Working with Jacob Roy, Assistant Athletic Director, Sports Performance, the students, overseen by Professor Ghosh, are engaging in an interdisciplinary project that uses advanced data science and analytics techniques to extract actionable insights from physiological and performance metrics. By employing methods such as predictive modeling, trend analysis, and data visualization, they aim to identify patterns and factors that influence athletic performance, recovery, and injury prevention. This initiative not only provides valuable support to the Athletics Department, but also offers students a hands-on opportunity to apply their technical skills in a real-world context, bridging the gap between academic learning and practical application in sports analytics.