Journal of Data science and Modern Techniques (JDMT)

ISSN No: 2996-0134

EDITORIAL-DETAILS (JDMT)

Akshata Kishore Mohari

Lead Data & Applied Scientist
University of Maryland College Park
United States

Biography

I am Akshata Kishore Mohari a Lead Data & Applied Scientist at Microsoft, where I apply my expertise in analytics, machine learning, deep learning, and generative AI to create innovative solutions for the gaming industry. I have over 12 years of experience in data science, working with various data collection methods, data mining techniques, and large language models. My passion is to develop and apply interpretable and explainable AI/ML approaches that can enhance the user experience, protect data privacy, and prevent fraud. I have contributed to multiple patents, publications, and awards in the field of data science and AI, demonstrating my creativity, problem-solving, and research skills. I also enjoy teaching and sharing my knowledge as an adjunct professor at the University of Maryland Baltimore County.

Research Interest

Explainable AI , Human Centered Machine Learning Responsible AI Generative AI Fraud Detection