Gian Prem Rajaram

Product Leader | AI/Data Strategist
London, GB.

About

Highly accomplished Product Manager and AI/Data Strategist with a proven track record of driving multi-million dollar impacts and enhancing user experiences in complex tech environments. Leverages deep expertise in AI/ML, data analysis, and product development to build innovative solutions, as demonstrated by leading GenAI initiatives at Amazon and optimizing platform efficiency at a VC/PE-backed AI scale-up. Eager to apply advanced analytical capabilities and strategic product leadership to deliver transformative outcomes in a dynamic tech landscape.

Work

Amazon
|

Product Manager (L4 Internship)

London, England, United Kingdom of Great Britain and Northern Ireland

Summary

Led product roadmap initiatives for Amazon Marketplace's EU eco-fee strategy, focusing on data enrichment, GenAI products, and 0-1 bets to drive compliant sales and efficiency.

Highlights

Impacted eco-fee calculation and display rollout, contributing to hundreds of millions of dollars in compliant sales by coordinating 2 operations teams to enrich product attributes for 1M SKUs ahead of launch.

Increased eco-fee coverage on product pages by 20%, empowering millions of customers, and delivered a Python audit tool to consolidate datasets and validate 133 logic rules in 4 weeks, unblocking PM teams on UAT.

Defined requirements for a 0-1 GenAI solution to derive product metadata from images and text, automating manual processes to scale the program across new marketplaces, facilitating multi-billion dollars in compliant sales and reducing OPEX by $115K annually.

Articulated product vision via PRFAQs, aligned 3 cross-functional teams, and led technical discovery with engineering and Sr. Technical PM, evaluating LLMs via Bedrock to select models based on latency, cost, and accuracy, and engineered prompts.

Globality, Inc.
|

Associate, Product Operations

London, England, United Kingdom of Great Britain and Northern Ireland

Summary

Managed vendor onboarding and NLP workflows for a B2B professional services marketplace, optimizing data integration and driving platform efficiency.

Highlights

Managed 4 vendors, optimizing data integration and NLP workflows to onboard largest client's 70K supplier portfolio, exceeding enterprise agreement targets and contributing to $900K+ in revenue.

Advised engineering teams on API mapping and coordinated third-party analysts to enhance data quality, contributing to significant revenue growth.

Owned end-to-end resolution of technical and process issues for a business-critical web-crawler, designing 8 features and persuading product, engineering, and operations to implement, cutting processing time by 96% over 4 sprints.

King's College London
|

Graduate Research Assistant

London, England, United Kingdom of Great Britain and Northern Ireland

Summary

Conducted regression analysis on ESG risk areas and reviewed extensive academic literature to inform research.

Highlights

Conducted regression analysis on 20 variables across merged data (R/QGIS) to identify ESG risk areas, reviewing 67 papers to support research initiatives.

Globality, Inc.
|

Analyst, Growth & Risk Operations

London, England, United Kingdom of Great Britain and Northern Ireland

Summary

Progressed from part-time intern to full-time analyst, leading regulatory risk projects and developing quantitative models to enhance supplier quality and client experience.

Highlights

Trained and mentored 3 research analysts, leading a regulatory risk project that improved compliance coverage from 72% to 97% for 18K+ supplier accounts, reducing out-of-scope alerts by 25%.

Developed a quantitative risk model for financial monitoring, streamlining weekly processing by 70% for 20K+ accounts to improve supplier quality on the platform and enhance client experience.

King's College London
|

Research Assistant

London, England, United Kingdom of Great Britain and Northern Ireland

Summary

Developed R/Python algorithms to web-scrape policy documents, enabling regulatory analysis for public policy research.

Highlights

Developed R/Python algorithms to web-scrape 15K policy documents, enabling Public Policy regulatory analysis and data-driven insights.

Education

Lauder Javne School of Budapest
Budapest, Budapest, Hungary

High School Diploma

Hungarian Matura

Grade: Grade 5 (highest distinction)

University College London
London, England, United Kingdom of Great Britain and Northern Ireland

MSc

Computer Science

Grade: Distinction (Expected)

Courses

App Engineering (client deliverable)

Database Fundamentals

Algorithmics

Functional Programming

Architecture & OS

Interaction Design (HCI)

Applied Programming

King's College London
London, England, United Kingdom of Great Britain and Northern Ireland

BSc (Hons)

Politics

Grade: 1st Class Honours

Courses

Political Economy of Immigration

Economics of Crime

Languages

English
Hungarian
Spanish (Conversational)

Certificates

Mathematics for Machine Learning

Issued By

Imperial College London

Data Science with Python & SQL

Issued By

IBM

Introduction to Logic

Issued By

Stanford University

GenAI for Leaders

Issued By

AWS

Deep Learning 1 & 2

Issued By

AWS

Skills

Programming Languages

Python, R, PHP, Java, SQL, NoSQL.

Data Analysis & ML Tools

Excel, PyTorch, QGIS, Stata.

Product & Project Management

Jira, Confluence, Git, PRFAQs, Agile, Product Roadmap, Technical Discovery.

Web Technologies

React JS, CSS, HTML.

AI/ML Concepts

Generative AI, LLMs, Machine Learning, NLP, Unsupervised ML.

Data Management

Data Integration, Data Quality, Database Fundamentals.

Interests

Hobbies

Writing Poetry, Football, Reading: Abolitionism.

Academic Interests

AI Ethics, Economic & Social History.

Projects

LLM-based Recommendation Engine MVP

Summary

Developed an LLM-based recommendation engine Minimum Viable Product (MVP) as part of an Entrepreneurship Accelerator.