Sharmendra is passionate about using data and artificial intelligence to uncover insights that drive meaningful decisions. He builds Python-based automation pipelines and integrates machine learning and natural language processing techniques to make large-scale data analysis more efficient and impactful. His recent projects include developing models for trend detection, predictive analytics, and text analysis that help translate complex data into clear, actionable insights for institutional research.
Before coming to Clark University, Sharmendra worked on AI research projects in computer vision and quantum machine learning. Originally from India, he enjoys playing cricket and badminton in his free time.
