Dr. Chandravesh Chaudhari
Assistant Professor | Multimodal AI Researcher
AI Researcher
Empowering business through data-driven intelligence.
Chandravesh Chaudhari, Ph.D. is an academic and practitioner working at the intersection of business analytics, machine learning, and technology-driven decision-making. His research and teaching focus on applying data science and emerging technologie...
Email: chandraveshchaudhari@gmail.com
Bangalore, India
Research Interests
Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review
Hybrid Subset Feature Selection And Importance Framework
Books
Machine Learning for Business
Machine Learning for Business is an interactive and practical learning hub that connects business strategy with modern machine learning techniques.
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Programming for Machine Learning and Business
This interactive book is designed to help learners, researchers, and professionals bridge the gap between Python programming, machine learning fundamentals, and real-world business applications.
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MultiModal Machine Learning AutoML
BMMA framework is capable of scaling to multiple modalities such as tabular, sentiment data, time series, and computer vision data...
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Hybrid Subset Feature Selection and Importance Framework
Implements MultiSURF, ReliefF, SURF, and more for scalable feature selection...
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systematic-reviewpy
An open-source Python framework for systematic review based on PRISMA
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