I'm on an exciting journey as a Data Scientist and Computer Vision Scientist, driven by curiosity and a forward-looking mindset. With over 2 years of experience in freelancing, I've been creating and executing innovative Data related solutions to enhance business and productivity. My expertise spans major aspects of Deep Learning, from concept through Machine Learning and Data Annotation. As a hands-on and competent developer, I'm skilled at coordinating cross-functional teams in a fast-paced, deadline-driven environment to steer projects towards success. I'm particularly interested in exploring the intersection of Data Science and Computer Vision, leveraging my strong background in both fields to deliver cutting-edge solutions. I am proud to have published 4 research papers on the following topics: LightHARS: A Light Human Activity Recognition System (Springer), Insect Recognition: A Visionary Step Towards Smart Agriculture (AIP), Automated Gas Leakage Security System (JETIR), and An Efficient Real-Time Text Spotter (CIMS). I have also worked on several projects, including child action recognition, real-time human action recognition, text detection using the YOLO family, gesture-based game control using Python, fake news classification using Machine Learning, an Android application for leaf disease identification using Machine Learning, gas leakage identification using IoT, and water management system using IoT. Feel free to contact me at davedarsh1999@gmail.com