A method for locating and recognizing objects in 3D space from 2D images using deep learning to infer relationships. The approach demonstrates 3D object detection using PyTorch and YOLOv5, applied in robotics perception within the ROS framework and Gazebo simulator.

A heart disease prediction application utilizing a Bayesian network model. The application assesses various patient parameters to predict the likelihood of different heart disease types, providing an understanding of heart disease risk through a probabilistic approach.

Three prediction algorithms (Random Forest Classifier, Linear Regression, and Stacking Classifier) employed for stock price forecasting. Utilized rigorous backtesting techniques, visualizing projected trends offering detailed performance metrics and graphical representations.

An airlines data analysis system based on PySpark conducting analyses on flight delays, airtime patterns, and destination trends. The system enables airlines to optimize scheduling and efficiency, while offering passengers insights on punctuality and flight duration.

An algorithm created for weighted undirected graphs to improve travel for electric cars, considering constraints like car capacity and broken charging stations to calculate optimal charging stops, reducing complexity and demonstrating accuracy in real-world scenarios.

Welcome to my personal portfolio website! Here, you'll find short info about me and showcase of my skills, projects, and professional experience. Explore to discover my expertise in various technologies, see examples of my work, and learn about my journey in the field.