The technical and analytical skills he developed at Waterloo translated directly into his professional work.
“My doctoral training gave me strong foundations in statistical analysis, modeling, and programming.”
At the same time, industry experience strengthened his research perspective by highlighting the importance of practical applications, efficiency and decision-making.
“Working in a fast paced, data driven environment sharpened my appreciation for workflow efficiency, interpretability, and practical relevance, which ultimately made my research more grounded and applicable.”
A community that fosters growth
Looking back, Ghosh credits much of his success to the faculty mentorship and collaborative research environment he found at Waterloo.
“My time at Waterloo was both meaningful and formative,” he says.
He worked closely with his supervisor, Professor Dinghai Xu, while also collaborating on applied economic modeling projects with Professor Anindya Sen. Teaching econometrics labs for nearly four years gave him another opportunity to develop professionally while sharing his passion for the subject that first inspired his academic journey.
“The Waterloo community fostered collaboration, curiosity, and intellectual growth, making it an ideal environment to develop as a researcher.”