As the Managing Director at iNeuBytes and a researcher at VITAP, I lead efforts in technological innovation and business growth through applied data science and machine learning. My expertise in AI and deep learning enables me to enhance business operations and drive forward groundbreaking research initiatives. I directly manage projects from conception to execution, ensuring successful outcomes. For over eight years, I've coached over 4,000+ students in our Virtual Internship Program, providing practical training in data analytics and data science.My research at VITAP includes developing sophisticated machine learning models to solve pressing challenges in healthcare and IoT systems. Here are a few key projects:Particle Swarm Optimized-Enhanced NeuroBoost: I developed a predictive model that accurately forecasts hospital stays for CAD patients using a novel Particle Swarm Optimized-Enhanced NeuroBoost method, achieving 98.8% accuracy.Graph Neural Networks with LSTM : I engineered a model for efficient resource allocation in healthcare IoT, which enhances computational speeds and scales effectively.Dynamic Adaptive Weighted Ensemble: I designed an adaptive system that improves the accuracy of health monitoring in real-time by managing data variability in IoT streams.Voting Ensemble Technique: I improved the accuracy of diagnosing coronary artery disease by integrating several machine learning classifiers in a unique ensemble.Skills:Programming Languages: Python, R.Tools and Technologies: TensorFlow, PyTorch, Scikit-learn.Specialties: Machine Learning, Deep Learning, IoT, Healthcare Analytics.Connect With Me: Feel free to contact me on LinkedIn or via email at geethapratyusha@ineubytes.com for discussions on AI innovations, potential collaborations, or project guidance.