App Orchid Insights
Python, Custom NLP Library
About
At App Orchid, I coordinated delivery of an NLP dashboard that turned zero-party web browsing data into segmentation and trend reports for enterprise clients.
The point was to connect raw browsing behavior to decisions clients could act on, with the data staying zero-party and the model's classifications explainable.
Process
Dashboard build
Shipped a dashboard over retroactively collected zero-party browsing data, with segmentation and trend views.
NLP model integration
Trained and embedded a custom NLP model that classified browsing behavior by intent, interest, and product affinity.
Custom library
Packaged the NLP work as a reusable library that held up across different client datasets.
Launch
Coordinated the market release and supported client onboarding.
Outcome
Clients used the dashboard to see high-intent behavior across channels and adjust campaign targeting and personalization against it.