A focused portfolio: one flagship product case study, one ML capstone, one QA impact story, and supporting data projects.
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A publishing intelligence platform for discovering books, publishers, translation paths, and rights signals across countries. This is my flagship portfolio project because it combines data modeling, QA, product design, and trust-focused metadata.
Predicted residential property values using numeric property features and compared multiple models. The project emphasizes practical evaluation, model comparison, and business use cases for investors, lenders, assessors, and analysts.
A professional impact story showing how structured QA work improves product quality: test planning, defect discovery, regression coverage, release support, automation, and data-driven triage.
An interactive flashcard section for machine learning, evaluation metrics, NLP, QA-for-ML, and World Publishing Houses applications. I can keep adding study cards, and visitors can play with the concepts directly on the site.