Dennis Sila

I am a detail-oriented and experienced data annotation specialist with four years of expertise in creating, managing, and optimizing data labeling projects. My proficiency in platforms such as Toloka and Encord has allowed me to excel in various domains, including computer vision, natural language processing, and medical imaging. I have developed automation scripts using Python to enhance data preprocessing and annotation efficiency, achieving a 30% increase in accuracy and productivity.

Throughout my career, I have successfully led annotation projects, ensuring high-quality labeled data for machine learning applications. My experience includes coordinating with data scientists and project managers to define labeling guidelines and workflows, as well as training new annotators. I am passionate about leveraging my analytical skills and attention to detail to contribute to innovative data solutions and drive project success.