I am an Assistant Professor in Environmental Health Engineering, passionate about leveraging data science and statistical modeling to address critical challenges in public health, sustainability and climate resilience. With 4 years of experience as an Assistant Professor at Jain (Deemed-to-be) University, I have led curriculum development for data science programs, mentored 50+ students in statistical modeling, machine learning and research methods and published peer-reviewed work on Bayesian statistics, longitudinal analysis and human intelligence data. Prior to academia, I spent 4 years in industry as a Data Scientist, building predictive models for finance, healthcare and manufacturing, and 5 years in statistical ML research during my PhD in Statistics, specializing in multivariate regression, uncertainty quantification and high-dimensional data. Proficient in Python, R, SAS, Power BI, predictive modeling and time-series forecasting, I bridge the gap between theory and real-world applications—driving data-informed decisions and fostering innovation.
I hold a Doctorate of Philosophy (PhD) in Statistics from the University of Madras (2016-2021), where my dissertation focused on “Joint Modelling of Longitudinal Count Data on Human Intelligence”—advancing statistical methods for behavioral and cognitive research. My graduate training includes a Master of Arts in Statistics (University of Madras, 2012-2014) and a Bachelor of Arts in Statistics from Loyola College, Chennai (2009-2012), which laid the foundation for my expertise in multivariate modeling, Bayesian analysis and data-driven research. My academic journey reflects a deep commitment to bridging statistical theory with applied domains like psychology, health analytics and computational social science.