Vinay Yadav

Background

About Vinay Yadav

With strong proficiency in Machine Learning and Data Science, I specialize in applying AI based techniques to risk analysis, and algorithmic trading. I have led impactful AI research projects, including developing predictive models for canine behaviour, resulting in a published research paper in Nature Scientific Reports. My expertise extends to trend detection, signal processing, and risk modelling, where I apply advanced ML algorithms to trading strategy optimization and market risk management. With two master’s degrees, a deep passion for research-driven problem-solving, and experience mentoring teams, I thrive in high-impact environments that require innovation, strategic thinking, and data-driven decision-making-Leadership & Management Highlights: • Mentored 150+ students across Big Data and AI modules at UEL, providing one-on-one mentorship for right guidance and feedback in their projects and academics by giving them real-world problem-solving skills. • Coordinated a cross-functional, multi-department research team on canine behaviour prediction project, ensuring timely data integration, model deployment, and research publication. • Oversaw lab scheduling, resource allocation, and stakeholder engagement for Dogvatar Project, meeting all milestones ahead of schedule-Key Achievements: • Led an AI-based canine behaviour prediction project in collaboration with the company Dogvatar, University of Pennsylvania and Data management company C-BARQ, resulting in publication in Nature Scientific Reports. • Guided multiple student cohorts in Big Data, Machine Learning, and AI frameworks, improving engagement and practical skills through industry-relevant projects. • Developed and deployed noise-reduction algorithms in MATLAB for speech processing, published in reputed journals. • Coordinated cross-functional teams (data management, design, simulation) to deliver end-to-end research prototypes within strict deadlines-Excellent Grip on Data Structures, Algorithms, Hadoop, Hive, Python, BigData