Role: Project Coordinator (Surf)
Timeline: January – July 2024
Focus: NLP Development, Data Dashboard, User Insights
Stack: Python, Custom NLP Library, Data Visualization Tools

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.

• 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.

This project reflects my ability to translate abstract data into productized intelligence — blending machine learning with business impact in a clear, interactive, and deployable way.