Atishay Jain profile photo 1 on Tal

Atishay Jain

Noon | Ex - Zomato, American Express | Open to Work

Gurugram

4+ years of work experience

noon
Jan 20269 mosPresent

Key Project: Globalship — B2B2C Cross-Border Shipment Portal ● Owned the end-to-end product roadmap and BRDs for Globalship, a shipment-creation portal for 550+ sellers on the India-UAE cross-border program — covering UI/UX, API performance, pricing logic, invoicing, and LMS integration. ● Directed launch planning and cross-functional delivery, partnering across Retail, Logistics, Finance, and Tech to keep pricing, invoicing, and logistics-system integration aligned with business goals. ● Scaled the program to process 56,790 shipments and 30,608 orders in a single month (Feb 2026), generating AED 2.97M+ GMV across 226 active sellers and 22,149 SKU configurations — roughly 2.08% of platform GMV. Key Project: Noonshot App — AI-Powered Catalog Ingestion for Sellers ● Owned end-to-end product for Noonshot, a seller-facing app enabling direct catalog listing via PSKU/PID and product images, with AI auto- generating descriptions and visuals — driving UI/UX, backend/API integrations, and the seller onboarding funnel. Key Project: Listing Quality Score — AI-Recommended Content Improvements (Seller Lab) ● Led a multi-phase, data-backed investigation into the catalog content-sales relationship — regression analysis across 9 product categories (~375K SKUs), later cross-checked against 129M search impressions over 4 weeks — uncovering that stronger content lifts sales primarily by improving product visibility in search rather than directly persuading shoppers to click or buy. Key Project: Cybertron Revamp & Catalog X-tract — Self-Serve PDP Scraper ● Led the UI/UX revamp of Cybertron, Noon's internal self-serve ops platform (Ticket Hub, Rich Content, Seller Info, Taxonomy, and 10+ other tools), and owned the roadmap for its newest capability, Catalog X-tract — a self-serve PDP scraper letting teams create SKUs directly from external product pages.
noon
Apr 20259 mosDec 2025

● Led a cross-border catalog ingestion program for international markets: built scalable SQL and Python pipelines for data cleaning, brand mapping, and taxonomy prediction to onboard millions of SKUs; defined KPIs, tracked post-launch quality, and drove iterative improvements. ● Owned an AI-driven attribute enrichment program, achieving >40% attribute fill rates across 10M+ configs; built a GPT-4o-mini–powered automation for data input/retrieval that cut manual enrichment effort by 4+ hours, establishing a continuous auto-enrichment pipeline for newly listed SKUs and improving delivery of product information to global customers.
Zomato
Jul 20231 yr 4 mosOct 2024

Gurugram, Haryana, India

● Built market and supply analytics and a data-driven city-launch framework informing Zomato Dining expansion decisions, contributing to 50% month-on-month revenue growth; launch markets went on to contribute 10-12% of overall Dining GMV. ● Built a T-1 coverage view for each Key Account Manager, surfacing per-restaurant slot coverage in peak lunch and peak dinner — Table Reservations' highest-GMV windows, where coverage sat under 30% — and drove a program pushing restaurants to at least 50% peak-slot coverage, alongside slot-span reduction and cover-charge analysis that cut commission impact by ~70%. ● Grew Table Reservations GMV from ~₹100cr to ~₹200cr through the coverage program, lifting TR's contribution to overall Dining GMV from 40% (₹250cr overall) to 50% (₹400cr overall). ● Defined requirements for and launched a real-time MIS/GMV dashboard for Zomaland / NYE 2023, tracking INR 10Cr+ in ticket sales and giving senior leadership live visibility during a high-stakes live program. ● Partnered with Product Managers and Tech to define tracking requirements and diagnose funnel drop-offs — moving the Bookings-to- Transactions rate from 32% to 51% for non-paid bookings. ● Led a consumer-insights study across Dining categories, isolating Quick Bites and coffee-led formats as the highest-retention segment, driven by low AOV and habit-forming, near-daily purchase behavior — the finding shaped downstream investment in Dining Maps discovery and a Starbucks integration to capture that habitual coffee-run behavior. ● Directed the design of automated reporting pipelines using GitHub and Apache Airflow DAGs.
American Express
Aug 202211 mosJun 2023

Gurugram, Haryana, India

● Defined the end-to-end late-stage collections lifecycle (account intake → digital contact via email/SMS/call → promise-to-pay capture → payment collection) for American Express's Global Servicing Group, and built 'Digital Metrics MIS' — a new KPI framework and MIS reporting suite (Right-Party-Contact rate, inbound/outbound contact volume, promise fulfillment) covering a ~$1B collections portfolio split across 85% outside agencies and 15% in-house recovery. ● Ran an apples-to-apples comparison of call-only, email-only, and call-plus-email channels to quantify how digital adoption affected collection efficiency versus the traditional Call & Collect segment, then delivered content and UX recommendations to agency partners — personalization, CTA clarity, template messaging, and NPS tracking — to lift digital-channel performance. ● Acted as Product/Program Owner for production report migration to the Big Data Platform, achieving a 98% match rate between legacy and new system outputs; awarded the Quarterly Performance Award. ● Directed the Big Data transformation of SAS codebases to HiveQL/SparkSQL, reducing pipeline run times by 100%; recognised with a second Quarterly Performance Award.
American Express
Aug 20211 yrJul 2022

Gurugram, Haryana, India

Global Servicing and Operational Excellence - Risk Processes MIS & Analytics
American Express
Jan 20216 mosJun 2021

Gurugram, Haryana, India

Chosen as the sole recipient out of over 900 applicants for this position

Atishay’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
railway
railway
replit
replit
Vercel AI SDK
Vercel AI SDK

Education

Thapar Institute of Engineering & Technology

Bachelor of Engineering - BE, Computer Science and Engineering

Thapar Institute of Engineering & Technology

20174 yrs2021
ryan international school

12th, Mathematics and Computer Science

ryan international school

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Headline

Noon | Ex - Zomato, American Express | Open to Work

About

I'm currently working in Noon's Commercial Analytics Team where I'm working on Attribute Enrichment for SKU's listed on Noon and Cross Border B2B2C Program Management. My skillset which I use here includes SQL, Looker Dashboards, G-sheets, and automation using AI, Python and Gitlab. Email: atishay21@gmail.com Topmate Link : https://topmate.io/atishay_jain13/

Location

Gurugram

AI stack

anthropic apis

claude code

claude

railway

replit

Vercel AI SDK

Work experience

Product Manager at noon, Jan 2026 - Present · 9 mos, Key Project: Globalship — B2B2C Cross-Border Shipment Portal ● Owned the end-to-end product roadmap and BRDs for Globalship, a shipment-creation portal for 550+ sellers on the India-UAE cross-border program — covering UI/UX, API performance, pricing logic, invoicing, and LMS integration. ● Directed launch planning and cross-functional delivery, partnering across Retail, Logistics, Finance, and Tech to keep pricing, invoicing, and logistics-system integration aligned with business goals. ● Scaled the program to process 56,790 shipments and 30,608 orders in a single month (Feb 2026), generating AED 2.97M+ GMV across 226 active sellers and 22,149 SKU configurations — roughly 2.08% of platform GMV. Key Project: Noonshot App — AI-Powered Catalog Ingestion for Sellers ● Owned end-to-end product for Noonshot, a seller-facing app enabling direct catalog listing via PSKU/PID and product images, with AI auto- generating descriptions and visuals — driving UI/UX, backend/API integrations, and the seller onboarding funnel. Key Project: Listing Quality Score — AI-Recommended Content Improvements (Seller Lab) ● Led a multi-phase, data-backed investigation into the catalog content-sales relationship — regression analysis across 9 product categories (~375K SKUs), later cross-checked against 129M search impressions over 4 weeks — uncovering that stronger content lifts sales primarily by improving product visibility in search rather than directly persuading shoppers to click or buy. Key Project: Cybertron Revamp & Catalog X-tract — Self-Serve PDP Scraper ● Led the UI/UX revamp of Cybertron, Noon's internal self-serve ops platform (Ticket Hub, Rich Content, Seller Info, Taxonomy, and 10+ other tools), and owned the roadmap for its newest capability, Catalog X-tract — a self-serve PDP scraper letting teams create SKUs directly from external product pages.

Senior Business Analyst at noon, Apr 2025 - Dec 2025 · 9 mos, ● Led a cross-border catalog ingestion program for international markets: built scalable SQL and Python pipelines for data cleaning, brand mapping, and taxonomy prediction to onboard millions of SKUs; defined KPIs, tracked post-launch quality, and drove iterative improvements. ● Owned an AI-driven attribute enrichment program, achieving >40% attribute fill rates across 10M+ configs; built a GPT-4o-mini–powered automation for data input/retrieval that cut manual enrichment effort by 4+ hours, establishing a continuous auto-enrichment pipeline for newly listed SKUs and improving delivery of product information to global customers.

Product Analyst at Zomato, Jul 2023 - Oct 2024 · 1 yr 4 mos, Gurugram, Haryana, India, ● Built market and supply analytics and a data-driven city-launch framework informing Zomato Dining expansion decisions, contributing to 50% month-on-month revenue growth; launch markets went on to contribute 10-12% of overall Dining GMV. ● Built a T-1 coverage view for each Key Account Manager, surfacing per-restaurant slot coverage in peak lunch and peak dinner — Table Reservations' highest-GMV windows, where coverage sat under 30% — and drove a program pushing restaurants to at least 50% peak-slot coverage, alongside slot-span reduction and cover-charge analysis that cut commission impact by ~70%. ● Grew Table Reservations GMV from ~₹100cr to ~₹200cr through the coverage program, lifting TR's contribution to overall Dining GMV from 40% (₹250cr overall) to 50% (₹400cr overall). ● Defined requirements for and launched a real-time MIS/GMV dashboard for Zomaland / NYE 2023, tracking INR 10Cr+ in ticket sales and giving senior leadership live visibility during a high-stakes live program. ● Partnered with Product Managers and Tech to define tracking requirements and diagnose funnel drop-offs — moving the Bookings-to- Transactions rate from 32% to 51% for non-paid bookings. ● Led a consumer-insights study across Dining categories, isolating Quick Bites and coffee-led formats as the highest-retention segment, driven by low AOV and habit-forming, near-daily purchase behavior — the finding shaped downstream investment in Dining Maps discovery and a Starbucks integration to capture that habitual coffee-run behavior. ● Directed the design of automated reporting pipelines using GitHub and Apache Airflow DAGs.

Senior Business Systems Analyst/ Product Owner at American Express, Aug 2022 - Jun 2023 · 11 mos, Gurugram, Haryana, India, ● Defined the end-to-end late-stage collections lifecycle (account intake → digital contact via email/SMS/call → promise-to-pay capture → payment collection) for American Express's Global Servicing Group, and built 'Digital Metrics MIS' — a new KPI framework and MIS reporting suite (Right-Party-Contact rate, inbound/outbound contact volume, promise fulfillment) covering a ~$1B collections portfolio split across 85% outside agencies and 15% in-house recovery. ● Ran an apples-to-apples comparison of call-only, email-only, and call-plus-email channels to quantify how digital adoption affected collection efficiency versus the traditional Call & Collect segment, then delivered content and UX recommendations to agency partners — personalization, CTA clarity, template messaging, and NPS tracking — to lift digital-channel performance. ● Acted as Product/Program Owner for production report migration to the Big Data Platform, achieving a 98% match rate between legacy and new system outputs; awarded the Quarterly Performance Award. ● Directed the Big Data transformation of SAS codebases to HiveQL/SparkSQL, reducing pipeline run times by 100%; recognised with a second Quarterly Performance Award.

Business Analyst at American Express, Aug 2021 - Jul 2022 · 1 yr, Gurugram, Haryana, India, Global Servicing and Operational Excellence - Risk Processes MIS & Analytics

Business Analyst Intern at American Express, Jan 2021 - Jun 2021 · 6 mos, Gurugram, Haryana, India, Chosen as the sole recipient out of over 900 applicants for this position

Education

Bachelor of Engineering - BE, Computer Science and Engineering, Thapar Institute of Engineering & Technology

12th, Mathematics and Computer Science, ryan international school