Prince Zana's Work | ContraWork by Prince Zana
Prince Zana

Prince Zana

Tech PM bridging engineering, AI, and business.

New to Contra

Prince is building their profile!

Cover image for Managing a multi tools to
Managing a multi tools to help business grow and understand their businesses
0
6
Cover image for Real-Time AI Sanctions & Compliance
Real-Time AI Sanctions & Compliance API for Global Fintech Project Summary: The AML Check API is a high-performance, developer-first compliance tool designed to help Fintechs, Neobanks, and Crypto exchanges screen users against global and regional watchlists. It solves the critical problem of "messy" government data by providing a single, unified REST endpoint that handles the ingestion, normalization, and "fuzzy" matching of high-risk entities. As the Technical Product Manager, I led the 0-to-1 development of the AML Check API. I was responsible for identifying a high-value gap in the compliance market and translating complex legal requirements into a scalable technical product.
1
18
Cover image for Building a product that empowers
Building a product that empowers thousands of retail businesses across emerging markets.  I led the product and operational strategy for Sellytics, a mobile-first platform built for the unique challenges of African retail. As a Product Manager, I acted as the bridge between our customers' pain points and our engineering team's builds. By streamlining our roadmap and focusing on high-impact features, I accelerated our growth and drove significant improvements in how we serve our users.
1
18
Cover image for We took a slow, manual
We took a slow, manual loan process and turned it into a smooth, automated machine. For this US-based fintech, I led the project to automate the entire loan lifecycle, from registration and verification to disbursement and reconciliation. After researching user pain points, I worked closely with our dev team to build a tool that simplified the complex work for everyone involved. It was a challenging project that required deep problem-solving, but the result was a much faster and more reliable system for our users.
2
31