Aditya Agrawal

AI Researcher

Seattle, Washington, United States7 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Delivered $108MM in incremental sales through innovative ML solutions.
Promoted to Senior Applied Scientist in just 9 months.
Mentored 7 new hires, enhancing team capabilities.

Stackforce AI infers this person is a Senior Applied Scientist specializing in E-commerce machine learning solutions.

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Skills

Core Skills

Machine LearningGenerative AiApplied SciencesApplied Machine LearningA/b Testing

Other Skills

PythonJavaMachine Learning AlgorithmsGitExploratory Data AnalysisAmazon Web Services (AWS)Recommender SystemsSoftware DesignVisual AnalyticsData MiningStatisticsTeachingPublic SpeakingC++C#

Experience

Amazon

4 roles

Senior Applied Scientist

Promoted

Oct 2025 – Present · 5 mos

Applied Scientist II

Promoted

Jul 2021 – Oct 2025 · 4 yrs 3 mos

Innovating extraction of distinct product features using language-agnostic NLP and large-scale data processing from Amazon’s product catalog for enriching shopping experience of customers, which delivered $108MM in incremental sales.
Authored research on customer targeting with limited brand information, for product recommendations, at AMLC, 2022.
Ideated and implemented a customer targeting ML model for Private Brands to optimize on customer engagement with a ROC-AUC of 0.77.
A/B tests showed click-through-rate (CTR) increase of 235 basis points and $90MM in incremental sales.
Led implementation of prototype to production in 11 countries and guided expansion to 2 more product lines world-wide.
Promoted in 9 months to L5 Applied Scientist and reviewed 50+ A/B testing designs as a Bar-Raiser at Org level.
Mentored 7 Amazonians including Summer Interns, new Applied Scientists, and team hires.

PythonMachine LearningJavaMachine Learning AlgorithmsGenerative AIApplied Machine Learning+4

Applied Scientist

Oct 2020 – Mar 2022 · 1 yr 5 mos

Applied Sciences

SDE

Jul 2019 – Oct 2020 · 1 yr 3 mos

Ideated, implemented, and executed A/B tests with back-end recommenders for Amazon’s Private Brands (PB) generating
$98MM in incremental long-term profits.
Independently achieved 46% of the target revenue for PB while working, in a team of 5, and transitioned to Applied Science.

PythonJavaApplied Machine LearningA/B TestingRecommender SystemsSoftware Design

University of massachusetts amherst

2 roles

Grader

Jan 2019 – May 2019 · 4 mos

Algorithms for Data Science COMPSCI 514- Spring 2019, under Prof. Barna Saha.

Grader

Sep 2018 – Dec 2018 · 3 mos

Introduction to Natural Language Processing COMPSCI 585- Fall 2018, under Prof. Mohit Iyyer.

Dell emc

Graduate/ Threat Analyst Intern

May 2018 – Aug 2018 · 3 mos · Greater Boston

Introduced a pipeline for data-driven threat detection research using machine learning.
Performed data collection, data cleaning, and integration from multiple sources like system logs and network packets.

Tata consultancy services

Trainee (Intern)

Jun 2016 – Jul 2016 · 1 mo · Noida, Uttar Pradesh, India

Extraction, cleaning, and exploratory data analysis of the data generated by a portal created and maintained by the TCS employees as a government project.