• Currently focused on object detection and segmentation using YOLO model, employing augmentation, data balancing techniques, and post-processing strategies to enhance model accuracy.• Experienced in Python for web scraping projects, utilizing tools such as Scrapy, Selenium WebDriver, and BeautifulSoup.• Proficient in data preparation through annotation tools.• Gaining expertise in Deep Learning and Natural Language Processing, with a foundational understanding of PyTorch.

• Led data analysis, statistical analysis, and execution metric following, which informed data-driven decision-making.• Also led and managed team of professionals supervising quality control, and team performance. Achieved improvements in team productivity, and successful execution of projects. Encouraged coordinated effort and innovation within the team.

• Gathered large image datasets and organized them using Python scripts.• Explored new problem areas and conducted technical research for innovative solutions.• Used different image augmentation techniques to give different variations to the images to replicate the real-world scenarios.