As a data annotation specialist, I have expertise in various annotation techniques and tools. My successful projects cover image annotation (Landmarking, Tracking), text annotation (Sentiment Annotation, Intent Annotation, Named Entity Annotation), and speech annotation (Speech-to-Text Translation, Audio Transcription). I have hands-on experience in annotation tools such as Labelbox, Prodigy, and Amazon SageMaker Ground Truth. My proficiency in programming languages such as Python, R, and SQL helps me automate complex annotation processes.

I have worked on several machine learning projects, including developing a recommendation system for an e-commerce website, predicting fraudulent transactions in finance, and detecting diseases from medical images. My projects have involved diverse techniques, from classical machine learning algorithms to state-of-the-art deep learning models.