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Rishabh Sachan

Product Analyst @ RigiTV | Ex-eBay, Zepto | Search, Recommendations & LLMs | IIT Guwahati

Bengaluru

4+ years of work experience

Rigi
Feb 20269 mosPresent

Bengaluru, Karnataka, India

• Lifted next-watch accuracy 30-45% over the popularity baseline for 15M+ users, using LLM-classified content metadata to build segment-wise playlists where genre tags were unreliable. • Forecast daily renewals within 4.4% of actuals across Rs 34 Cr of revenue, by modelling seasonality and trend, now the basis for monthly revenue planning. • Reframed the churn narrative for leadership, proving high-value churn concentrates at 56-68% catalogue exhaustion rather than ad friction, redirecting content strategy. • Protected ad revenue by detecting approx. 450 daily ad-blocker users and net-negative reward abusers, through nofill signatures and per-user P&L alerting. • Scaled analytics from 0 to 1 single-handedly by wiring Claude to ClickHouse over MCP as a schema-aware query layer, shipping nightly ETLs, core dashboards, and LTV/CAC reporting at team pace.
Algonomy
Jan 20257 mosJul 2025

Bengaluru, Karnataka, India · Hybrid

-Enhanced inventory utilization and minimized out-of-stock instances for OrderRight by optimizing client onboarding, leading training, and proactively resolving supply path anomalies. -Improved forecast accuracy through trend deviation analysis across multiple retail accounts, identifying seasonality mismatches and historical data issues to guide model improvements.
Algonomy
Mar 202411 mosJan 2025

Bengaluru, Karnataka, India · Hybrid

•Built personalization layer over token-based matching in EU search for categories with heterogeneous supply, using buyer affinities towards item attributes. • Analyzed A/B tests on seller listing flows, derived actionable insights that influenced product decisions and improved key metrics like CVR and seller satisfaction. • Resolved item aspect-title mismatches through comprehensive metadata quality analysis, correction pipeline and by adding a consistency layer in retrieval. • Drove the product lifecycle for autocomplete entry points, enabled the transition from a listing-based to a product based experience.
Zepto
Aug 20221 yr 5 mosDec 2023

Bengaluru, Karnataka, India

-Owned and revamped entire search analytics, addressing ranking, relevance, and recall issues that led to a 3% CVR improvement. - Implemented features like Autocomplete, Query Correction Layer and Scoped Search for enhanced user experience. -Improved home page and category page user experience through initiatives like category trials,cross sell in browse etc. -Overlooked impact analysis for all Reccomendation widgets and built the analytics recommendation logic for each widgets that led to 5% uplift in ATC_GMV per User. -Automated pricing analytics to generate final pricing systematically that helped in recovering the sales losses due to incorrect MRP being present in the system.
GetMega
Oct 202111 mosAug 2022

Bengaluru, Karnataka, India

-Helped determine whether specific system changes should be implemented based on the impact on the rake. -Set up alerting mechanism for fraudulent pattern detection to prevent similar fraudulent behaviour from happening with appropriate actioning and validated fraudulent user behaviour signals. -Owned reporting/dashboarding to identify cities with highest levels of fraud. -Minimised 1 and 2 degree referral frauds in the system by appx. Rs 50,000 by identifying specific user personas and their patterns and curbing the behaviour through various checks and alerts.
WhiteHat Jr
Oct 20208 mosMay 2021

India

-Supported Curriculum and Teacher Success teams by introducing KPIs like Class Consumption and Teacher Chat Compliance Time which was useful in tracking Student Engagement and Teacher Conversion through dashboards built on MS Excel and Tableau. - Analysed Campaign Level Performance by measuring click through rates and bounce rates across different channels like Google Adwords, Facebook, TV etc.

Rishabh’s AI Stack

claude code
claude code
claude
claude
cursor
cursor
gemini
gemini
openai
openai
ChatGPT
ChatGPT

Education

Indian Institute of Technology, Guwahati

Bachelor of Technology - BTech, Mechanical Engineering

Indian Institute of Technology, Guwahati

20164 yrs2020

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Headline

Product Analyst @ RigiTV | Ex-eBay, Zepto | Search, Recommendations & LLMs | IIT Guwahati

About

I solve discovery, retention, and monetization problems using deep data analytics, machine learning, and LLMs. Over the past 5+ years across eBay, Zepto, and RigiTV, I’ve built personalization algorithms, scaled 0-to-1 analytics layers, and optimized high-scale search flows. Quick Highlights: • Shipped recommendation layers impacting 15M+ streaming users • Scaled search & autocomplete features driving 10% higher conversion • IIT Guwahati Alum | Ex-eBay, Zepto Core Focus: Search & Recommendations | Personalization | A/B Testing | Revenue Forecasting | SQL & ClickHouse Open to Product & Data Analyst roles. Drop me a message or email: rishabh98schn@gmail.com

Location

Bengaluru

AI stack

claude code

claude

cursor

gemini

openai

ChatGPT

Work experience

Product Analyst at Rigi, Feb 2026 - Present · 9 mos, Bengaluru, Karnataka, India, • Lifted next-watch accuracy 30-45% over the popularity baseline for 15M+ users, using LLM-classified content metadata to build segment-wise playlists where genre tags were unreliable. • Forecast daily renewals within 4.4% of actuals across Rs 34 Cr of revenue, by modelling seasonality and trend, now the basis for monthly revenue planning. • Reframed the churn narrative for leadership, proving high-value churn concentrates at 56-68% catalogue exhaustion rather than ad friction, redirecting content strategy. • Protected ad revenue by detecting approx. 450 daily ad-blocker users and net-negative reward abusers, through nofill signatures and per-user P&L alerting. • Scaled analytics from 0 to 1 single-handedly by wiring Claude to ClickHouse over MCP as a schema-aware query layer, shipping nightly ETLs, core dashboards, and LTV/CAC reporting at team pace.

Functional Consultant (Order Right) at Algonomy, Jan 2025 - Jul 2025 · 7 mos, Bengaluru, Karnataka, India · Hybrid, -Enhanced inventory utilization and minimized out-of-stock instances for OrderRight by optimizing client onboarding, leading training, and proactively resolving supply path anomalies. -Improved forecast accuracy through trend deviation analysis across multiple retail accounts, identifying seasonality mismatches and historical data issues to guide model improvements.

Search Analyst (Ebay) at Algonomy, Mar 2024 - Jan 2025 · 11 mos, Bengaluru, Karnataka, India · Hybrid, •Built personalization layer over token-based matching in EU search for categories with heterogeneous supply, using buyer affinities towards item attributes. • Analyzed A/B tests on seller listing flows, derived actionable insights that influenced product decisions and improved key metrics like CVR and seller satisfaction. • Resolved item aspect-title mismatches through comprehensive metadata quality analysis, correction pipeline and by adding a consistency layer in retrieval. • Drove the product lifecycle for autocomplete entry points, enabled the transition from a listing-based to a product based experience.

Product Analyst at Zepto, Aug 2022 - Dec 2023 · 1 yr 5 mos, Bengaluru, Karnataka, India, -Owned and revamped entire search analytics, addressing ranking, relevance, and recall issues that led to a 3% CVR improvement. - Implemented features like Autocomplete, Query Correction Layer and Scoped Search for enhanced user experience. -Improved home page and category page user experience through initiatives like category trials,cross sell in browse etc. -Overlooked impact analysis for all Reccomendation widgets and built the analytics recommendation logic for each widgets that led to 5% uplift in ATC_GMV per User. -Automated pricing analytics to generate final pricing systematically that helped in recovering the sales losses due to incorrect MRP being present in the system.

Business Analyst at GetMega, Oct 2021 - Aug 2022 · 11 mos, Bengaluru, Karnataka, India, -Helped determine whether specific system changes should be implemented based on the impact on the rake. -Set up alerting mechanism for fraudulent pattern detection to prevent similar fraudulent behaviour from happening with appropriate actioning and validated fraudulent user behaviour signals. -Owned reporting/dashboarding to identify cities with highest levels of fraud. -Minimised 1 and 2 degree referral frauds in the system by appx. Rs 50,000 by identifying specific user personas and their patterns and curbing the behaviour through various checks and alerts.

Business Analyst at WhiteHat Jr, Oct 2020 - May 2021 · 8 mos, India, -Supported Curriculum and Teacher Success teams by introducing KPIs like Class Consumption and Teacher Chat Compliance Time which was useful in tracking Student Engagement and Teacher Conversion through dashboards built on MS Excel and Tableau. - Analysed Campaign Level Performance by measuring click through rates and bounce rates across different channels like Google Adwords, Facebook, TV etc.

Education

Bachelor of Technology - BTech, Mechanical Engineering, Indian Institute of Technology, Guwahati