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Forged Work #003

A polyglot platform with embedded ML at PPM

Worked across the whole stack — Go, Node, and PHP behind the API line, React/Redux up front, scikit-learn powering the analytics.

Year
2019
Role
Senior Software Engineer
Client
PPM
Go Node.js PHP React Redux Python scikit-learn
A polyglot platform with embedded ML at PPM

The Anvil

We needed to generate recommendations from existing loyalty data, and to explore “share of wallet” across credit-card and loyalty systems by correlating the exchange and transaction data the company already had.

The Strike

I ran multiple PoCs to test feasibility: a recommendation system for email marketing, “share of wallet” reports and analysis, and visibility into the current state of data compliance and its real impact on the business.

The Edge

I surfaced multiple correlations worth sharing with credit-card partners, showing the impact of the loyalty system — the kind of finding usually only seen in literature, here grounded in real data. I designed and shipped the first email-recommendation algorithm for personalized products within the loyalty programs.

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