Deepthi Das

Deepthi Das , an Associate Professor and Associate Dean at the School of Sciences, CHRIST (Deemed to be University) in Bangalore, India, is a dedicated educator with over two decades of teaching experience. With a profound commitment to fostering academic excellence and ethical values among students, Dr. Deepthi creates inclusive learning environments that promote critical thinking and social responsibility. Holding a Ph.D. in Computer Science and Engineering from CMR University, Bangalore, she actively integrates innovative teaching methods to deliver dynamic educational experiences. Dr. Deepthi's research interests primarily focus on Artificial Intelligence and Machine Learning, with notable contributions to customer churn prediction in the motor insurance sector. Alongside her academic responsibilities, she has served in various leadership roles, including Head of the Department of Statistics and Data Science and Programme Coordinator for Undergraduate Programmes. Dr. Deepthi's dedication to education, research, and leadership acumen make her a valuable asset to the academic community.

Publications

Intersection of AI and Business Intelligence in Data-Driven Decision-Making
Intersection of AI and Business Intelligence in Data-Driven Decision-Making
Arul Kumar Natarajan, Mohammad Gouse Galety, Celestine Iwendi, Deepthi Das, Achyut Shankar. © 2025. 360 pages.
In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and...
Python Programming for Geospatial Applications: Web Mapping, Interactive Visualization, and Beyond
Python Programming for Geospatial Applications: Web Mapping, Interactive Visualization, and Beyond
Deepthi Das, Arul Kumar Natarajan. © 2024. 23 pages.
Geospatial solutions represent a pivotal toolset for analyzing, interpreting, and visualizing spatial data across diverse domains, facilitating informed decision-making and...
Exploring Vector and Raster Data Formats for Geospatial Visualization With Python
Exploring Vector and Raster Data Formats for Geospatial Visualization With Python
Marsel Sonu M., Deepthi Das, Arul Kumar Natarajan, Manimaran A.. © 2024. 24 pages.
The chapter uses Python to explore vector and raster data formats within geospatial visualization. It highlights their pivotal role across diverse environmental science, urban...