Aman Nama profile photo 1 on Tal

Aman Nama

Building @BookMyMedia.in | Co-Founder @GroundsTruth | Ex-AmEx | IIT KGP

Bengaluru

4+ years of work experience

Jun 20264 mosPresent

Bengaluru

• Own client engagement and product for a software venture serving traditional businesses that run on paper and WhatsApp. • Aligned the entire operation of a Gurgaon-based ₹50 Cr business by replacing manual coordination with a single app: order capture, warehouse and SKU movement, inventory management, field labour tracking, invoicing and collections. • Ran the customer research that reframed the brief, then defined and shipped the MVP inside a month. • Made cash reconciliation and collection performance visible for the first time, which changed how the owner runs the business day to day. • Led a small build team, ran the demos and training that drove adoption, and made the honest call against productising the solution.
Bookmymedia.in
May 20265 mosPresent

• Own product strategy, roadmap and delivery for India's largest verified OOH and DOOH platform. • Built the platform end to end as sole engineer: APIs, database, web application, and mobile-first portals used by field teams on site. • Instrumented the funnel, read what it said, and changed the roadmap when the data showed my original thesis was wrong. • Built the supply side the marketplace depends on, onboarding media-owner partners and the verified inventory catalogue. • Hired and onboarded the first enterprise sales and partner success hires, and ran partner demos and training.
Bookmymedia.in
Dec 20256 mosMay 2026

• Worked on where the business should go next: which markets to enter, what the platform needed to become, and what a technology-led OOH business would look like. • Ran the early customer and partner conversations that shaped what we eventually built. • Defined the commercial model and the structural safeguards that protect it in a relationship-driven industry.
American Express
Oct 20241 yr 7 mosApr 2026

Bengaluru, Karnataka, India

• Owned an abuse-detection model end to end, from problem framing through modelling, governance, deployment and monitoring. It gates offer eligibility across the US customer base and is still in production. • Found and fixed a selection bias loop in retraining, where the model was only ever learning from the population it had previously cleared. • Re-architected the scoring pipeline for scale, cutting runtime sharply and making much finer-grained targeting possible. Expanded a single-channel model into a multi-channel targeting system for the in-app context. • Automated the performance tracking loop end to end, replacing manual review with rule-based health checks that flag when a model needs rebuilding. • Cleared independent model validation and interpretability review on every model I shipped.
American Express
Jul 20222 yrs 3 mosSep 2024

Bengaluru, Karnataka, India

• Built response and propensity models that decided which customers received which offers, across direct mail and digital channels for US Consumer Banking products. • Evaluated a production merchant recommendation engine using a randomised holdout test, measuring the lift it actually caused rather than what attribution credited it with. • Engineered spend-behaviour features from raw transaction data, and ran the feature selection that turned a large candidate pool into a working model. • Worked with marketing and channel teams to turn open-ended business questions into models that changed real campaign decisions.

Aman’s AI Stack

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Education

Indian Institute of Technology, Kharagpur

Dual degree (B.Tech+M.Tech), Chemical Engineering

Indian Institute of Technology, Kharagpur

20175 yrs2022

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Headline

Building @BookMyMedia.in | Co-Founder @GroundsTruth | Ex-AmEx | IIT KGP

About

Fixing the part of Indian outdoor advertising that's lagging behind. Hi, I'm Aman. I got here from a slightly weird angle: four years in data science at American Express, building models that decided which offers reached which customers, then into our family's OOH business in Kota, 25 years and 350+ owned sites. Today I run product at BookMyMedia.in, India's largest verified OOH and DOOH platform. Brands like Physics Wallah, SBI, JSW, Wonder Cement and Indian Oil plan campaigns through us. The platform replaces WhatsApp forwards with searchable inventory, Excel rate cards with 30-second branded proposals, and "trust me bro" with GPS-tagged installation photos inside 24 hours. I wrote the roadmap and I wrote the code. Turns out the most useful thing you can do with a data science background isn't training another recommender. It's dragging an analog industry into 2026. What I actually enjoy is the full loop: figure out the problem, decide what to build, build it, measure whether it worked, and change course when the data says you were wrong. I've done that as a modeller and as a product owner. I'm currently open to data science and product roles, in Bengaluru or abroad. If you're hiring, or you own OOH inventory, or you just want to compare notes on the India media stack, my DMs are open.

Location

Bengaluru

AI stack

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mcp

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Work experience

Product & Data Lead at GroundsTruth, Jun 2026 - Present · 4 mos, Bengaluru, • Own client engagement and product for a software venture serving traditional businesses that run on paper and WhatsApp. • Aligned the entire operation of a Gurgaon-based ₹50 Cr business by replacing manual coordination with a single app: order capture, warehouse and SKU movement, inventory management, field labour tracking, invoicing and collections. • Ran the customer research that reframed the brief, then defined and shipped the MVP inside a month. • Made cash reconciliation and collection performance visible for the first time, which changed how the owner runs the business day to day. • Led a small build team, ran the demos and training that drove adoption, and made the honest call against productising the solution.

Head of Product at Bookmymedia.in, May 2026 - Present · 5 mos, • Own product strategy, roadmap and delivery for India's largest verified OOH and DOOH platform. • Built the platform end to end as sole engineer: APIs, database, web application, and mobile-first portals used by field teams on site. • Instrumented the funnel, read what it said, and changed the roadmap when the data showed my original thesis was wrong. • Built the supply side the marketplace depends on, onboarding media-owner partners and the verified inventory catalogue. • Hired and onboarded the first enterprise sales and partner success hires, and ran partner demos and training.

Strategy and Growth Advisor at Bookmymedia.in, Dec 2025 - May 2026 · 6 mos, • Worked on where the business should go next: which markets to enter, what the platform needed to become, and what a technology-led OOH business would look like. • Ran the early customer and partner conversations that shaped what we eventually built. • Defined the commercial model and the structural safeguards that protect it in a relationship-driven industry.

Senior Analyst - Data Science at American Express, Oct 2024 - Apr 2026 · 1 yr 7 mos, Bengaluru, Karnataka, India, • Owned an abuse-detection model end to end, from problem framing through modelling, governance, deployment and monitoring. It gates offer eligibility across the US customer base and is still in production. • Found and fixed a selection bias loop in retraining, where the model was only ever learning from the population it had previously cleared. • Re-architected the scoring pipeline for scale, cutting runtime sharply and making much finer-grained targeting possible. Expanded a single-channel model into a multi-channel targeting system for the in-app context. • Automated the performance tracking loop end to end, replacing manual review with rule-based health checks that flag when a model needs rebuilding. • Cleared independent model validation and interpretability review on every model I shipped.

Analyst - Data Science at American Express, Jul 2022 - Sep 2024 · 2 yrs 3 mos, Bengaluru, Karnataka, India, • Built response and propensity models that decided which customers received which offers, across direct mail and digital channels for US Consumer Banking products. • Evaluated a production merchant recommendation engine using a randomised holdout test, measuring the lift it actually caused rather than what attribution credited it with. • Engineered spend-behaviour features from raw transaction data, and ran the feature selection that turned a large candidate pool into a working model. • Worked with marketing and channel teams to turn open-ended business questions into models that changed real campaign decisions.

Education

Dual degree (B.Tech+M.Tech), Chemical Engineering, Indian Institute of Technology, Kharagpur