[email protected] | linkedin.com/in/raybuhr | github.com/raybuhr

Machine Learning (scikit-learn, xgboost, lightgbm, pytorch, tensorflow, keras,spark MLlib)

Programming (python,scala, go, ruby, javascript, bash)

Infrastructure (AWS, GCP, terraform, ansible, git, CI/CD, kubernetes, ECS, Lambda, Datadog)

Data Engineering (Spark, Databricks, SQL, PostgreSQL, MySQL, nosql, dynamodb, mongodb, bigtable, BigQuery, Snowflake, Redshift, Airflow, Step Functions, dbt)

Software Engineer, Technical Lead, Machine Learning
StockX Apr 2021 – present

• Lead team planning and tactical decisions regarding technology as the technical lead for the Recommendations team
• Designed architecture for recommendation system including candidate generation, reranking, and serving layers
• Consolidated and optimized infrastructure and components across multiple machine learning projects leading to reduced latency by 50% and reduced annualized costs by over $200K USD
• Developed model features and product carousels that lead to >2.5% net increase in site-wideconversion rate confirmed through A/B testing

Senior Data Scientist
PayPal Dec 2018 – Mar 2021

• Developed a recommendation system to advise merchants which evidence to submit to most likely win disputes and chargeback claims (patent filed)
• Created a churn prediction model that saved multiple 8-figure contracts (tens of millions of annualized revenue)
• Designed an anomaly detection system to identify changes in payment gateway traffic from individual merchants used to engage with at risk accounts
• Optimized SQL and built Airflow pipelines used for customer facing financial reports

Manager of Data Science
Pangea Money Transfer Mar 2018 – Dec 2018

• Implemented modern data stack using Stitch Data for data ingestion to S3, dbt running on AWS ECS, and Snowflake for data warehouse
• Built a web scraper to track consumer currency transfer rates and used it to optimize pricing in different markets
• Investigated referral fraud and convinced marketing to reduce referral bonuses without negatively impacting customer acquisition
• Developed a machine learning solution deployed to AWS Lambda to trigger emails and push notificationsfor price alerts to customers

Senior Data Scientist
Raise Marketplace Aug 2015 – Mar 2018

• Developed a machine learning algorithm to rank prospects and leads for the sales team leading to 500% increase in conversions
• Built a classification machine learning algorithm for tracking bulk buyers by brand for fraud detection and monitoring
• Designed and implemented data engineering platform on GCP centered around BigQuery

Master of Information and Data Science
University of California, Berkeley 2014 - 2016

Bachelor of Arts in Economics
Occidental College 2005 - 2009