Sonia Nwanesindu

I am a detail-oriented and adaptable professional with a Pharmacy background and a strong focus on data processing, annotation, and analysis. I bring precision in handling sensitive information, honed through both clinical training and hands-on data work.

I am certified in Python programming (Coursera, 2023) and experienced in data collection, labeling, evaluation, and quality assurance across text, audio, image, and video modalities. I have completed annotation work with OneForma (Apple projects Polly, Lyra) and data collection/transcription with Appen.

I contribute reliably to structured data tasks such as pairwise comparisons, counting tasks, preprocessing, and quality checks, and I apply research and critical thinking to improve data accuracy. I have also coordinated community health data logistics through volunteer work with Pad A Girl Initiative and participated in public health data gathering.

I am passionate about supporting the development and safety of AI models through disciplined annotation work and continuous learning, seeking roles where I can combine technical skills, domain knowledge, and collaborative problem-solving.