Felister Kobia

As a data tagging professional with 3 years experience, am passionate about advancement of AI,addressing data annotation challenges creatively and championing ethical data handling practices in alignment with privacy regulations and ethical considerations.My profession centers around special skills such as proficiency with data labelling tools, maintaining consistency and quality control and understanding the nuances of the data being annotated.Additionally,domain-specific expertise,meticulous attention to detail,effective communication,problem solving abilities and strong time management skills are indispensable in my field of work.

In my professional experience,I have successfully managed data annotation projects involving annotating medical images for a  healthcare AI application, ensuring precise labelling of anomalies and anatomical structures.Have been involved in annotation of large datasets of images for autonomous vehicle development,helping train models to indentify road signs , pedestrians and other critical objects accurately.Additionaly have contributed to sentiment analysis in natural language processing by annotating text data for sentiment polarity, providing foundation for sentiment prediction models.

In pursuit of my education,I completed a Bachelor's degree in computer science with a strong emphasis on data management and artificial intelligence.Have also done special courses on natural language processing and computer vision as well as participating in active practical projects applying annotation skills and machine learning knowledge to real world scenarios, solidifying capabilities in this field.