Results-driven machine learning intern at DRDO with expertise in Python and Scikit-learn. Developed an Oil Detection Model achieving a 0.90 mAP score for UAV applications. Proficient in big data analytics and data analysis, showcasing strong problem-solving skills and dedication to excellence in software development and machine learning integration.
Developed an accurate model with an mAP score of 0.90 to detect oil spills for the Centre for Air-Borne Research, DRDO This model is being applied for future developments in UAVs and drones
Drone selection GUI/app, developed a GUI/app for the Indian Army to select and call upon a drone based on weight and payload provided by the commander in chief Published in an article and undergoing updates for testing.
Liability vs. tort prediction application, developed a prediction application using a machine learning model and Sci-Learn kit Added to a paper accepted into a conference
Image classification, image classification based on CNN concepts using Python libraries
Live face recognition, developed a live face recognition system using Python
Airline ticketing system, full-stack development of an airline ticketing system
Python Certified Entry-Level Programmer
Python Certified Associate Level Programmer
Google Full Stack Certified Programmer
Cisco Cybersecurity Expert, Intermediate
IBM Cybersecurity Essentials
Cisco Packet Tracer (beginner and intermediate)