Passionate about Data Science with a pretty good understanding of probability and statistics Predictive analytics, Expertise in Image processing, and Deep learning, I am more fascinated by the field of Computer Vision, Medical Image Analysis, Automotive industry to solve AI-based problems (ADAS), and Human-computer Interaction. My capabilities: Image Classification using VGG-16, InceptionV3, ResNet50, ResNet101, DarkNet Algorithms Object Detection Algorithms: YoloV3, SSD, TensorFlow Object detection API. Segmentation Problems: MRCNN, U-Net, SegNet, AutoEncoders Programming language: Python with Keras & TensorFlow as the Deep learning framework Cloud Platforms: AWS, Azure, Google collab. IDE's or coding platform: PyCharm, Visual Studio Code, Spyder & Jupyter Notebook Source Control & other tools: SVN, Git, Jira, Confluence Software Development practices: Agile scrum methodology Production pipeline: Flask WebAPI to render models, TensorFlow Serving. I look forward to connecting with you!