
Dynamic Solution Developer at Tata Technologies with expertise in Python and machine learning. Achieved a 14% increase in task efficiency through interactive dashboard visualizations. Proven ability to lead cross-functional teams and drive process improvements using MBSE and cloud technologies, ensuring robust engineering insights and enhanced collaboration.
People Detection:
Number of people detected in the surrounding area using the OpenCV (dlib) library detecting the faces in front of the camera and accumulates it.
Fault detection in fuel system:
Detection of faults by using regression and making surrogate model in simulink and detecting the health of system using ML to predict Remaining Useful Life.
Word detection using NLP:
Word detection by entering in search box if it exists or not. Using deep learning and naive byes for text classification problems and better accuracy.
Failure Mode Analysis using Bayesian Networks:
Satellite Image Classification for Environmental Monitoring: