Reeti Pandey

AI Researcher

Seattle, Washington, United States8 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Data Science.
Proven track record in healthcare analytics.
Strong experience in developing AI-driven applications.

Stackforce AI infers this person is a Data Science expert in Healthcare and E-commerce sectors.

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Skills

Core Skills

Machine LearningDeep LearningNatural Language ProcessingData Science

Other Skills

AWS-CDKAccountabilityAnalytical SkillsArtificial Intelligence (AI)BERTClaude LLMComputer VisionDashboardData VisualizationDecision TreesExploratory Data AnalysisGenerative AIGraph Neural NetworksHealthcareInterpersonal Communication

About

Experienced Data Science Specialist with a demonstrated history of working in the Health Insurance & health care industry. Skilled in Linear Regression, Cluster Analysis, Logistic Regression, Natural Language Processing (NLP), and Regression Analysis, Neural Networks, Computer Vision, Transfer Learning, etc, Strong engineering professional graduated from Nit Kurukshetra in Computer Science and Engineering.

Experience

8 yrs

Total Experience

2 yrs

Average Tenure

4 yrs 3 mos

Current Experience

Amazon

Applied Scientist 2

Mar 2022 – Present · 4 yrs 3 mos · United States · On-site

APPLIED SCIENTIST II | AMAZON, SEARCH RELEVANCE | JUNE 2025 - PRESENT
Improving the quality of search on amazon.com
APPLIED SCIENTIST II | AMAZON, CONSUMER ELECTRONICS TECH | MAR 2022 – JUNE 2025
Seattle(WA)
Generative AI Application : Developed and deployed Generative AI application for internal employees to convert their task demonstration videos into Standard Operating procedure for agentic automation. Used opencv for scene detection and Claude 3.7 for frame analysis and sop generation. Deployed using AWS-CDK using Lambda, Step Functions and API gateway.
Attach Recommendation – Designed a customer facing experiment to test a Graph Neural Network
based model to recommend most relevant accessories for a base product. The ranking algorithm
increased product type diversity from 2 to 3.
Bundle Ranking – Developed a two- tier product ranking model, finetuned a Mixtral 8*7B LLM to
predict conversion of product bundles using historical data of conversion rates and Claude 3 to
generate instruction QnA datasets for training the LLM encoder. Achieved a NDCG@3 score of 0.8 and
MRR of 0.7. Model was deployed using AWS step functions and EC2.
LLM Generated content for Bundles - Led several A/B experiments from inception to completion by
engineering prompt for Claude LLM to generate content for thousands of bundled-product detail
pages, in 5 different languages, achieving a projected annualized revenue gain of 50M USD in US , and 30M USD for other marketplaces for Amazon.
LLM Content Evaluation – Evaluated and validated LLM generated content at scale prior to launching
customer facing experiments. Designed quality criteria and tooling to quantify the content quality of
LLM generated content for 5 languages. Established 80% acceptable content as go-ahead criteria for
GenAI applications.

Generative AIOpenCVAWS-CDKGraph Neural NetworksMixtral LLMClaude LLM+2

Flipkart

Data Scientist

Oct 2021 – Feb 2022 · 4 mos · Seattle, Washington, United States

APPLIED SCIENTIST INTERN | FLIPKART RND | SEPT 2021 – FEB 2022 | Seattle(WA)
Decision Assistant Chatbot (Flippy) : Developed various NLP models for subtasks like chit chat
conversations, product recommendations, Question answering etc.
Semantic Text Similarity- Trained a Bert-like text similarity model to identify a similar pair of user
queries based on domain specific context. This model helps cluster similar queries, identify new query
patterns and Augment training data. Model in production.

NLPBERTNatural Language Processing

Great learning

Mentor - AI/ML

Aug 2021 – Jul 2025 · 3 yrs 11 mos · United States

Zenon

Senior Data Scientist

Aug 2020 – Dec 2020 · 4 mos · Delhi, India

SENIOR DATA SCIENTIST | ZENON | AUG 2020 – DEC 2020 | Remote(India)
Supplier Risk Score – Collaborated with clients to create analytics-powered Supplier Risk Management
framework using Python scripts to channel JnJ supplier evaluation metrics from external agencies and
augment them with internal supplier records using text matching algorithms on their names and
addresses with a match rate of 25%.

PythonText Matching AlgorithmsData Science

Unitedhealth group

2 roles

Data Scientist

Mar 2020 – Aug 2020 · 5 mos · Bengaluru, Karnataka, India

Business-minded Data scientist with 3.5 years of experience and demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods, and develop Machine Learning Solutions for various Healthcare stakeholders.
> Developed a Computer Vision and Transfer Learning based solution for medical image annotation tasks that automated and sped up the processing of medical claims and saved up to 1.5 FTE a year for UHC.
> Developed automation for the task of Rx pre-authorization process that replaced the rule-based determination process with a decision-tree-based determination process that generated cost savings of 1 FTE a year.

Computer VisionTransfer LearningMachine Learning

Associate Data Scientist

Jul 2017 – Mar 2020 · 2 yrs 8 mos · Bengaluru, Karnataka, India

> Developed an NLP-based solution for Sarcasm detection as a POC for my team. The objective of the POC being showcasing our NLP abilities to our prospective clients.
> Developed a Recommender system for Liveandworkwell.com members to recommend suitable providers to the members using their claims data.
> Developed dashboard for a client delivering valuable insights using their transaction data.

NLPRecommender SystemsData Science