Nageshwar Yadav

I am a Computer Science graduate specializing in Artificial Intelligence and Machine Learning, driven by a deep interest in solving real-world problems through data-driven approaches and intelligent systems. Over the past few years, I have built a strong foundation in machine learning, data analysis, and software development through academic training, internships, and hands-on projects.

My professional journey includes roles as a Data Science Intern at Insignia Consultancy Solution (USA) and a Data Analyst Intern at iNeuron (India), where I worked on exploratory data analysis, predictive modeling, and automation pipelines. These experiences strengthened my ability to understand complex datasets, extract actionable insights, and develop models that perform reliably in practical settings. I also gained frontend development experience at Oasis Infobyte, which helped me understand how user-facing systems integrate with backend and AI components.

I have worked on multiple machine-learning projects, including churn prediction, a driver drowsiness detection system using computer vision, and a salary prediction web application. One of my notable works includes research on driver behavior analysis and drowsiness detection using machine learning combined with blockchain for data security. I have also filed a patent in this domain, which reflects my interest in applying AI to safety-critical applications.

Technically, I am proficient in Python, SQL, Power BI, and essential ML frameworks. I enjoy the challenge of breaking down complex problems and building scalable, efficient solutions. Beyond coursework, I consistently explore new tools and techniques to stay updated with advancements in AI.

What motivates me most is the potential of AI to create meaningful impact—whether by improving efficiency, enhancing decision-making, or introducing smarter solutions in industries such as healthcare, security, transportation, and business analytics. I aim to contribute to these fields by deepening my expertise in machine learning and advanced AI systems.

I am now preparing to pursue a Master’s degree, where I hope to further strengthen my research capabilities, collaborate with diverse teams, and work on cutting-edge technologies. With my background, passion for innovation, and commitment to continuous learning, I am confident in my ability to grow as an AI professional and contribute effectively to future technological advancements.