Research Overview

Research is more than the pursuit of knowledge—it is about creating meaningful solutions to complex real-world challenges. My research focuses on the intersection of Artificial Intelligence (AI), Data Science, Machine Learning (ML), Learning Analytics, and Educational Data Mining, with the objective of developing intelligent, data-driven frameworks that enhance decision-making across education, healthcare, and industry.My work emphasizes the design and implementation of predictive models, intelligent analytics, and explainable AI systems that transform raw data into actionable insights. By leveraging advanced computational techniques, I aim to improve academic performance prediction, personalize learning experiences, optimize institutional decision-making, and support evidence-based practices.

I am particularly interested in developing AI-enabled solutions that bridge the gap between research and practical application. My research integrates statistical analysis, machine learning algorithms, data visualization, and business intelligence to address emerging challenges while ensuring transparency, scalability, and ethical use of artificial intelligence.Driven by interdisciplinary collaboration and continuous innovation, I strive to contribute to high-quality research that advances scientific knowledge and delivers measurable societal impact. Through publications, collaborative projects, and technology-driven solutions, my goal is to promote sustainable digital transformation and empower organizations to make informed, data-driven decisions in an increasingly AI-powered world.

PUBLICATIONS:-

1. A Multi-Stakeholder Analysis of Employability Prospects and Industry Readiness of IT Graduates in Goa, June 2026 International Journal of Advanced Research in Science Communication and Technology DOI:10.48175/IJARSCT-37121 

URL:-https://www.researchgate.net/publication/407373708_A_Multi-Stakeholder_Analysis_of_Employability_Prospects_and_Industry_Readiness_of_IT_Graduates_in_Goa