Headline

Product @ Media.net | Data-Led Product Decisions | LLM Feature Design | A/B Testing | Ad tech

About

I've spent 4 years at Media.net turning messy data into product decisions that protect annual revenue and move monetization metrics. As a Senior Product Analyst, I own an anti-spam product operating on 5M+ daily visits, designing LLM-based detection signals, running A/B tests, and shipping stakeholder-facing dashboards that 100% of partners adopted. My work sits where analytics, AI, and product strategy overlap, and that's exactly where I want to keep building. What I bring to a PM/APM role: a hypothesis-first mindset, deep fluency in LLM feature design and experimentation, and a track record of translating ambiguous data problems into shipped products with measurable impact. I'm actively looking for PM, APM, and Senior Product Analyst roles where I can keep building products that sit at the AI/data edge. If you're working on something in that space, I'd love to connect.

Location

Bengaluru

AI stack

antigravity

codex

claudecode

Work experience

Senior Product Analyst at Media.net, Jan 2025 - Jun 2026 · 1 yr 6 mos, Bengaluru, - Owned an in-house Anti-Spam product operating on 5M+ daily ad-driven visits, mitigating ~$15M+ in annual revenue risk by detecting and blocking low-quality and fraudulent traffic in real time. - Designed and shipped 2 LLM-powered fraud-detection signals as part of a 50+ signal overhaul, reducing undetected fraudulent traffic by ~20% and lifting automated decision accuracy by ~60%, reducing manual review dependency. - Built and launched a stakeholder-facing traffic quality dashboard adopted by 100% of partners, cutting issue resolution time by ~40%

Product Analyst at Media.net, Jul 2022 - Jan 2025 · 2 yrs 7 mos, Bengaluru, - Led experimentation and analytics for LLM-powered semantic keyword generation feature, designed test variants, monitored rollout, and validated a ~10% revenue uplift through statistically significant A/B testing across live ad inventory. - Drove a ~5% increase in monthly revenue baseline by mining third-party data across 4 new sources to surface high-value keyword clusters. - Improved URL categorization accuracy by ~25% across 100M+ records and reduced safety-detection gaps by ~20%, saving 100+ analyst hours per week through automation and quality dashboards.

Content Strategy at Viacom18 Media Private Limited, Jan 2022 - Jun 2022 · 6 mos, - Raised dubbing accuracy to 95% by using LLM-based transcript scoring to benchmark 4 vendors and selecting the top performer, reducing post-production rework and release delays - Identified high-value content gaps for Voot by benchmarking catalog depth, pricing, and UX against four major Indian OTT competitors. - Reprioritized 250+ content titles using a performance-scoring dashboard (completion, retention, social buzz), influencing acquisition decisions and increasing average watch time per user

Growth at ZeoAuto (YC W20), Aug 2021 - Dec 2021 · 5 mos, - Increased image-scanning precision by ~30% by analyzing misclassification patterns, tuning model features, and supporting pipeline retraining - Scaled and energized a 10k+ delivery-partner community, built a social-support playbook that cut response time by 40% and lifted user loyalty score - Executed weekly A/B tests (2–3 creatives/week) informed by market insights, improving brand visibility and engagement

Summer Trainee at Grasim Industries Limited | Pulp & Fibre, May 2019 - Jul 2019 · 3 mos

Yatri at Jagriti Yatra, Dec 2018 - Dec 2018 · 1 mo

Education

Dual Degree, Chemical Engineering, Birla Institute of Technology and Science, Pilani - Goa Campus

High School, CBSE, Orion International School