Summary
Overview
Work History
Education
Skills
Accomplishments
Websites
Timeline
Generic

Prathm Merchant

Seattle

Summary

Data Science Leader with 10+ years of experience leading high-impact ML, experimentation, and analytics programs across AdTech and Retail Media. Proven track record of delivering $MM+ impact through product-led data science initiatives.

Overview

11
11
years of professional experience

Work History

Senior Manager Data Science

Sam’s Club Ads, Walmart
08.2023 - Current
  • Drove $50MM in incremental ad revenue, $200MM in attributed sales, and 1B+ Ads impressions by leading experimentation strategy for 10+ onsite ad product launches.
  • Designed and executed A/B tests, lift studies, and causal inference models in collaboration with Product, Engineering, and Data Science teams—enabling successful launches of new ad formats like Sponsored Videos across search and product detail pages.
  • Reduced experiment analysis SLA from 2 weeks to 1 day by leading a team of data scientists and analysts to build a Tableau dashboard powered by Google BigQuery, enabling automated post-experiment analysis.
  • Adopted by 5+ teams and 100+ weekly users—including Product, Marketing, and Advertising Managers—it became the most viewed dashboard for experimentation insights across the organization.
  • Owned the development and launch of the ClickBoost forecasting model, leveraging multivariate time series modeling in Python with features such as historical impressions, ad spend, and seasonality to predict future ad performance.
  • Built on BigQuery and integrated with Tableau, the model drove an incremental 10% lift in ad revenue and was positioned as a strategic growth lever in the FY26 Joint Business Plan.
  • Developed a GenAI-powered multi-agent chatbot using OpenAI, BigQuery, and ADK (Agent Development Kit) to enable text-to-SQL and conversational responses for Ads domain business questions.
  • Adopted org-wide by Product and Marketing Managers, it reduced ad hoc data requests by 90%, saved 25+ hours per week, and was recognized by the VP for its strategic impact.

Senior Data Scientist – Ads & Promotions

Heyday
12.2022 - 07.2023
  • Developed and deployed a Dynamic Promotions ML model to predict incremental contribution profit (iCP) at the product-promotion level, unlocking $15M+ in incremental profit by optimizing promotion types and discount depths.
  • Led A/B testing strategy in collaboration with Product Managers to continuously validate and refine the Promotions model, driving iterative improvements and enhanced promotional effectiveness.
  • Mentoring a junior data scientist to build an Ads Bidding Optimization model, predicting optimal CPC for each keyword under ACOS constraints, with a goal of unlocking $1M+ in incremental AdTech profit.

Data Scientist II – Product DS Lead

Amazon
10.2020 - 12.2022
  • Company Overview: Alexa
  • Defined and secured alignment on a 3-year ML roadmap across recommendations, personalization, and targeting; partnered cross-functionally with Product, Marketing, Science, BI, and UX to prioritize initiatives based on scoped business impact and resource needs.
  • Built the Skill Category Recommendation Model, predicting engagement likelihood by skill category; deployed across 40M+ monthly active Alexa users, driving a 10% lift in monthly active usage.
  • Developed the New to Smart Home Propensity Model to identify customers likely to adopt smart home features; drove targeted campaigns that reduced cannibalization and improved marketing ROI by 12%.
  • Delivered a customer engagement segmentation model based on behavioral dimensions, increasing Alexa’s north star metric (Capability Breadth Usage) by 8%.
  • Managed and mentored a team of 3 junior scientists, promoting 2 through consistent coaching, unblock support, and career development planning.
  • Alexa

Data Scientist II

Amazon
05.2019 - 10.2020
  • Company Overview: Customer Analytics
  • Led the end-to-end development and executive review of Amazon’s Customer Lifetime Value (LTV) model, predicting 365-day spend; model was adopted org-wide to personalize discounting strategies, driving $50M+ in annual profitability improvements.
  • Partnered with Product and Marketing teams across orgs to build a First Purchase Propensity Model, enabling targeted email outreach that delivered a 4% lift in new customer acquisition and 8% reduction in opt-out rates.
  • Designed and engineered a feature store of 150+ attributes reflecting behavioral patterns of 300M+ active customers; this accelerated ML model development for science teams across Amazon, reducing time-to-delivery by ~60%.
  • Engineered 150+ features capturing retail purchase and browsing behavioral patterns of 300 million active customers; this enabled multiple science teams to adopt this feature store for building ML models thereby reducing ~60% of science solution delivery time.
  • Customer Analytics

Business Intelligence Engineer II

Amazon
04.2018 - 05.2019
  • Company Overview: Retail
  • Designed and launched a Marketing Performance Dashboard in Tableau used by PMs and marketers across multiple product categories; enabled data-driven negotiations and unlocked a 20% increase in vendor marketing investments during Amazon’s Vendor Summit.
  • Built a Customer Lifecycle Segmentation dashboard that surfaced high- and low-performing customer segments, empowering targeted campaigns and driving an 8% lift in revenue in the subsequent quarter.
  • Retail

Business Intelligence Engineer Intern

Amazon
05.2017 - 08.2017
  • Company Overview: Supply Chain
  • Developed predictive models to estimate volume distribution of package categories sold by MFN sellers with 85% accuracy; integrated into a pricing decision engine, driving $10M+ in quarterly cost savings.
  • Built and evaluated multiple regression and classification models (Ridge, Multivariate, Random Forest, DNNs) using Scikit-learn and Keras; selected optimal model based on performance metrics and delivered production-ready code to engineering teams for deployment across systems.
  • Supply Chain

Senior Systems Engineer – Python Development

Infosys Ltd
01.2014 - 05.2016
  • Led a 15-member team to automate manual workflows using Python scripting and SQL, boosting productivity by 25%; recognized as Most Valuable Employee (2015–16) for driving $50K+ in client savings through process automation.
  • Conducted statistical analysis using Google Analytics on web KPIs (e.g., Page Views, Bounce Rate) to forecast revenue lift and optimize digital performance; insights led to a 15% increase in client revenue through targeted strategy recommendations.

Education

Master of Science in Business Analytics - Data Science

Naveen Jindal School of Management, University of Texas At Dallas
12.2017

Bachelor of Engineering - Computer Science

K. J. Somaiya College of Engineering, Mumbai University
05.2013

Skills

Database: Oracle, MySQL, Postgres, Snowflake

Machine Learning: Python (NumPy, Pandas, Scikit learn, Keras-Deep Learning), Statistics, NLP

Big Data Technologies: Hadoop, Hive, PySpark

Tools and Software’s: MS Excel, Tableau, Power BI, Jupyter, Elements, DataProc

Cloud Tech Stack:AWS Redshift, Sagemaker, GCS BigQuery

Measurement: A/B Test Design, Experiments, Incrementality tests, Causal Inference, DiD, Propensity Score Matching

Accomplishments

Make An Impact Award

Timeline

Senior Manager Data Science

Sam’s Club Ads, Walmart
08.2023 - Current

Senior Data Scientist – Ads & Promotions

Heyday
12.2022 - 07.2023

Data Scientist II – Product DS Lead

Amazon
10.2020 - 12.2022

Data Scientist II

Amazon
05.2019 - 10.2020

Business Intelligence Engineer II

Amazon
04.2018 - 05.2019

Business Intelligence Engineer Intern

Amazon
05.2017 - 08.2017

Senior Systems Engineer – Python Development

Infosys Ltd
01.2014 - 05.2016

Bachelor of Engineering - Computer Science

K. J. Somaiya College of Engineering, Mumbai University

Master of Science in Business Analytics - Data Science

Naveen Jindal School of Management, University of Texas At Dallas

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