Mr. Chandan Pandey is an Ecologist and Doctoral Researcher working at the intersection of ecology, artificial intelligence, and data science. His research focuses on tropical forest ungulates and large mammals, using advanced quantitative methods such as Hierarchical Bayesian Models and GLMMs to understand complex ecological systems.
         He has strong expertise in R, Python, SQL databases, cloud computing, and deep learning applications for wildlife image classification. His work emphasizes efficient data analysis, reproducible research, and the integration of AI technologies into modern wildlife conservation.
      mr. Pandey is also actively involved in teaching data documentation and computational tools and has been recognized with the KaggleX BIPOC Mentorship Award for his contributions to data science and research mentorship.

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His Key Achievements:​​

• Doctoral Researcher in Population Ecology, Mathematical Modeling, and Mammalian Biology

• Expertise in AI, Machine Learning, Bayesian Modeling, and Ecological Data Science

• Developed automated R & Python pipelines reducing data processing time by 90%

• Applied Deep Learning models (AlexNet & WSDDN) for wildlife image classification

• Worked on cloud-based computational systems reducing analysis runtime by 99%

• Research contributions in wildlife population estimation and tropical forest ecology

• Published scientific research in internationally recognized journals