Om Bhisra

<p>Developed a Loan Risk Prediction System using Machine Learning to evaluate loan approval based on applicant data.</p><p>Built an end-to-end pipeline including data preprocessing, handling missing values, encoding, and feature selection.</p><p>Implemented a Support Vector Machine (SVM) model and improved performance through hyperparameter tuning.</p><p>Optimized model parameters using techniques like Grid Search to achieve better accuracy and generalization.</p><p>Evaluated performance using metrics such as accuracy, precision, recall, and confusion matrix.</p><p>Enabled data-driven decision making to help reduce financial risk for lending institutions.</p>

<p>Developed HridyaCare, a smartphone-based low-cost health screening platform for basic vital and wellness assessment.</p><p>Designed to estimate heart rate, stress levels, and overall wellness using mobile sensors and intelligent processing.</p><p>Implemented data processing and machine learning techniques to analyze health signals and generate insights.</p><p>Focused on creating an accessible and user-friendly solution for early health monitoring without expensive equipment.</p><p>Integrated features like real-time feedback, health tracking, and personalized recommendations.</p><p>Aimed to make preventive healthcare more affordable, scalable, and accessible to a wider population.</p>

<p>Developed Renew AI, an intelligent system focused on optimizing and promoting sustainable energy usage.</p><p>Built machine learning models to analyze energy consumption patterns and provide efficient usage recommendations.</p><p>Performed data preprocessing, feature engineering, and model training to generate accurate predictions.</p><p>Designed the system to support smarter decision-making for energy conservation and cost reduction.</p><p>Integrated insights and visualizations to help users understand and optimize their energy consumption.</p><p>Aimed to contribute towards sustainability by leveraging AI for smarter and greener energy solutions.</p>