Experience
"Is there a faster, better way to do this?" — This one question has shaped every role I've held. From my first Excel macro to AdInsight Pro, the Amazon Ads audit platform running in production today, it's the instinct that turns me from an analyst doing the work into a strategist engineering the growth.
My e-commerce career started at Wissend Consultancy, managing catalogs for brands like Lenovo and Duraflame across Amazon and Walmart. Within weeks of joining, I'd written a CMD script that renamed thousands of product images in seconds — a task that would have consumed days of manual work. Management noticed. That was the moment I realized: this wasn't a one-off hack — it was how I wanted to work. And it's the instinct that eventually pulled me deep into Amazon advertising.
Today at ATHIBAN Ecommerce PVT LTD, I run Amazon Ads end-to-end — Sponsored Products, Sponsored Brands, and Sponsored Display across India, UAE, and USA — including the day-one campaigns for the complete TECHATRON brand launch I led from China sourcing to live listings. In 2026 I completed the Amazon Sponsored Ads Advanced Certification from the Amazon Ads Academy, formalizing what daily campaign ownership had already taught me. And because I refuse to run a 4-hour manual PPC audit every Monday, I built AdInsight Pro — the full-stack ads audit platform that does it in 90 seconds, solo-built and live in production.
What sets me apart is that I build the tooling most strategists only wish for. When I see wasted ad spend hiding in a bulk file, I don't pivot-table through it — AdInsight Pro surfaces it in seconds and exports the ready-to-upload fix. When I see scattered customer feedback, I don't skim it — my AI review analyzer reads every review at scale. When I see a 16-hour catalog audit, I replace it with a 5-minute script. Strategy backed by ACoS, margin, and P&L thinking — executed with tools I engineered myself. That combination is rare, and it's exactly what I bring.
Three Principles That Guide Everything I Ship
Automate First, Then Execute
Before I do a task twice, I ask whether I should do it at all. Most "this is just how we work" processes are really automation opportunities waiting to be named. I surface them, scope them, and ship the fix.
Ship, Don't Prototype
I don't build proofs-of-concept that sit in a folder. Every tool I write runs in production — used by real people on real workflows, stress-tested against thousands of SKUs and messy real-world data. Working beats polished.
Data Makes the Decision
Every optimization I recommend is backed by numbers — ACoS trends, review sentiment patterns, audit failure rates, campaign structure metrics. Opinions are optional. Data isn't.