ROBERT METHVEN

Seattle,WA

Summary

Data science professional with 10+ years of experience in quantitative analysis and machine learning, specializing in product analytics and large-scale data solutions. Proven track record of driving data strategy through data-driven insights, managing complex experimentation, and delivering scalable analytics solutions that impact millions of users. Pioneer in implementing GenAI solutions for workflow automation and advanced analytics.

Overview

years of professional experience

Certification

Work History

Senior Business Intelligence Engineer

Amazon Web Services (AWS) - Worldwide Field Enablement

Seattle, Washington

01.2022 - Current

Engineered enterprise-scale GenAI workflow automation reducing analysis time from weeks to minutes, processing 2.5M+ words monthly
Developed automated ML pipeline using AWS Bedrock and SageMaker, saving 400 hours monthly in manual processing
Built end-to-end NLP solution analyzing 700K+ text responses with 92% accuracy
Implemented intelligent content recommendation system serving 40K+ users with ML cosine similarity algorithms
Led advanced data experimentation using k-prototypes clustering and z-score analysis to benchmark performance metrics across 50K global users
Architected Survey Data Mart processing 7M+ data points, improving coverage from 20% to 99%
Developed product success metrics and KPIs across multiple programs, driving 600% increase in user adoption
Evangelized Gen AI and advanced AWS services implementation strategy across organization
Partnered with Product, Engineering, and Business teams to drive data-driven decision making
Mentored 14+ teams on quantitative analysis and data science best practices
Established data governance frameworks and analytics standards

Senior Product Analyst

Matterport

01.2021 - 01.2022

Developed product analytics infrastructure processing millions of customer interactions
Built predictive models for user behavior analysis and product optimization
Designed experimentation frameworks for feature testing and optimization
Led cross-functional initiatives to implement data-driven product strategy

Product Growth Analyst

eBay Inc.

01.2020 - 01.2021

Conducted quantitative analysis leading to $5-7M in product growth initiatives
Designed and executed A/B testing frameworks for product optimization
Implemented SQL-based analytics pipelines for user behavior tracking
Developed statistical models for customer segmentation and targeting

Education

Master of Data Analytics - Business Analytics

Penn State University

University Park, PA

Bachelor of Science - Marine Science

Southampton Solent University

Skills

Languages: Python, R, SQL (Advanced)
Machine Learning: Scikit-Learn, XGBoost, Clustering, NLP, Statistical Modeling
Product strategy

Data Processing: AWS (Redshift, SageMaker, Bedrock), Snowflake
Analytics Tools: A/B Testing, Experimentation Design, Statistical Analysis
Visualization: Tableau, Power BI, QuickSight