Nanyunja Noelina

I’m an analytical Computer Science graduate specializing in data validation, dataset curation, and machine learning structures. I build and refine precise data annotation pipelines for complex neural network training and statistical classification models, translating unstructured requirements into strict, logical SOPs.

As a Freelance Data & Web Research Analyst, I extracted, structured, and validated web-based data arrays using custom project guidelines, maintaining a 98%+ accuracy rate in cross-platform dataset labeling. I also collaborated asynchronously with global teams to meet high-throughput deadlines while keeping data integrity high.

I’ve further strengthened my documentation rigor as a Technical Writer & Graduate Assistant, developing SOPs, reviewing and validating automated outputs and code repositories, and supporting junior students through complex data structures. My projects include leading a neural network data curation and labeling system for character/digit recognition and building decision-tree classification models in R (rpart) with clear validation reporting.