App Orchid Insights
Python, Custom NLP Library
// about
At App Orchid, I led the coordination and technical delivery of an advanced Natural Language Processing (NLP) dashboard designed to turn zero-party web browsing data into actionable insights for enterprise clients.
The project aimed to bridge the gap between raw user behavior and strategic decision-making — helping businesses better understand how users engage across digital ecosystems, all while prioritizing privacy and model transparency.
// process
Data Strategy & Dashboard Build
Developed a full-featured dashboard built on retroactively collected zero-party browsing data, allowing for detailed segmentation and trend identification.
NLP Model Integration
Trained and embedded a custom NLP model that could classify, tag, and interpret browsing behavior across categories like intent, interest, and product affinity.
Custom Library Development
Created a robust NLP library tailored for scalability, interpretability, and accuracy in variable contexts — ensuring clean performance under different client datasets.
Market-Ready Launch
Coordinated the successful release of the product to market, supporting client onboarding and helping position the tool as a key asset in App Orchid's product portfolio.
// achievements
The dashboard provided real-time visibility into high-intent behavior across digital channels, significantly improving how clients approached campaign targeting, product development, and personalization strategies.