MSMaulin ShahDataAI / MLProductGrowthData
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Selected proof
Retention · Supertails
~60%
lift on test conversion

Catch customers before they lapse.

A daily repurchase score wired directly into retention actions.

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Replenishment · Supertails
~75%
precision on wet-food reorders

Reach customers before they run out.

A reorder-timing system built around each customer and product cycle.

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Product intelligence · CricHeroes
10M+
players adopted

Turn data into an identity users adopt.

Nine player archetypes became a community language and a product layer.

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More work
1–2 / 3
Personalization · Behavioral scoring

Customer Affinity Modelling

Supertails · 2025 · Live in production

Teams across Supertails were personalizing blind, with no shared read on what each customer actually cared about.

I built a multi-level affinity layer scoring preference across pet type, category, sub-category, and brand, time-decayed and intent-weighted.

Multi-teamPersonalization & cross-sell insights unlocked
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Decision Systems · Platform architecture

Adaptive Nudge Decision Engine

Supertails · 2025 · In rollout

Overlapping CRM campaigns were nudging the same customer repeatedly and burning WhatsApp spend.

I replaced the campaign workflows with one decisioning system that picks the best next action per customer per cycle.

In rolloutReal metrics arrive after the first 90 days of full operation
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GenAI Evaluation · Cost-benefit

AI Commentary at CricHeroes

CricHeroes · 2024 · Pilot

CricHeroes had three tempting GenAI commentary ideas and no way to tell which was worth the engineering bill.

I evaluated all three, pre-match show, live ball-by-ball, and post-match wrap-up, and made the cost-benefit call on what ships, what waits, and what dies.

+15%Engagement on live commentary
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MSMaulin ShahData·AI / ML·Product·Growth

Your next important decision deserves a system behind it.

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