I bridge raw data science and scalable business applications, turning complex datasets into measurable global growth.
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About me
I specialize in bridging the gap between raw data science and scalable business applications, focusing on turning complex datasets into measurable global growth. My approach is simple: use data to identify the opportunity, and use code to scale the solution. I'm always learning, always building, and always looking for the next data-driven breakthrough.
3 things I strongly believe in:
Ship the dashboard, not just the deck. Action over presentation.
Every metric should change a decision, or it's just noise.
Code the solution only after data finds the opportunity.
Experience
Data Analyst (Walmart Channel Lead)
Sri Venkatesh Aromas
Aug 2025 – Present
0-to-1 Marketplace Growth: Led the launch of SVA's Walmart US storefront from scratch, setting up data operations, metric tracking and listing optimization for steady month-over-month growth.
Ad Optimization: Built full-funnel keyword bidding frameworks around ROAS and CTR, doubling total sales while staying net profitable over six months.
Cross-Market Analytics: Tracked organic vs. inorganic performance across the US, UAE and UK, turning raw data into one view for leadership.
Revenue & Supply Chain: Used sales velocity and conversion trends to guide pricing strategy and inventory forecasting.
Data Analyst Intern
Sri Venkatesh Aromas
Feb 2025 – Jul 2025
Created Organic Mapping and Competitor Analysis reports and built Power BI dashboards to track key advertising metrics.
Managed 3–5 USA marketplace products and gained Amazon PPC expertise, then moved to the Australia marketplace for campaign analysis and product targeting research.
Selected Work
Filter by tech:
OnTreq
Trekking Management Application
Problem: Trek slots get overbooked and staff coordinate by hand.
Solution: Full-stack platform with three-tier access for Admins, Trek Staff and Trekkers, overbooking-proof and duplicate-safe booking, and automated reminders and reports through Celery Beat.
V1 was a monolith; V2 splits the API from a Vue SPA.
Redis caches hot reads and brokers background jobs.
A conflict-free scheduling engine prevents double-booked appointments.
JWT auth and offline-capable PWA support.
Also built
A2Z Tracker ↗code ↗ Offline-first dashboard for Striver's A2Z DSA sheet, with 200+ curated problems, active recall notes, study timers and a simulated contest engine.
Pattern Vault ↗code ↗ Self-hosted DSA pattern vault with categorized problem sets, a blind-test randomizer and offline persistence.