Things I have built.

Semantic Data Modelling Tool

One of the biggest hurdles for business users in our CDP was understanding how multiple tables connected just to build a simple segment.

The Logical Model project tackled this by creating a business-friendly layer on top of the physical data model, turning complex joins into intuitive relationships. Suddenly, marketers and analysts could work independently, building segments with confidence and speed.

This shift not only improved adoption but also bridged the gap between business and data teams.

Data Transformations

Data engineers were spending a lot of time cleaning and preparing data before it could even enter the CDP. To change that, we built a self-serve Data Transformations tool, a workspace where teams could manipulate, cleanse, and shape raw data on their own.

The result was a major boost in agility: less waiting on support, faster iteration, and cleaner data flowing through the system. It made data engineering feel lighter, more collaborative, and scalable..

Marketers often juggle disconnected tools for data discovery, planning, and campaign execution. The Program Planning Agent was a concept born to unify that experience. Bringing AI into the mix to help product marketing professionals identify opportunities, plan strategies, and execute programs seamlessly.

The vision was simple but powerful: make marketing strategy formation faster, smarter, and deeply data-driven, ultimately helping teams drive conversions and growth with precision.

Program Planning Agent