About
I am an Infrastructure Data Scientist at Shopify, where I measure the impact of AI on company productivity. My background spans machine learning, analytics engineering, and decision-support systems across streaming media, healthcare, banking, telecommunications, and supply chain contexts.
Infrastructure Data Scientist at Shopify
I combine applied machine learning, analytics engineering, AWS infrastructure, and multilingual business context to build systems that help teams make better decisions.
- Website: austinwindsor.github.io
- Location: Taipei, Taiwan / Remote
- Email: austin.windsor05(at)gmail.com
- Education: M.S. Computer Science, Georgia Tech
- Focus: AI impact, productivity measurement, data infrastructure
- Languages: English, Mandarin, French, Japanese, Spanish
My current focus is measuring the impact of AI on productivity at Shopify. My toolkit includes pi, Claude, and ChatGPT. Earlier work includes AWS Personalize recommendation systems, QuickSight reporting pipelines, analytics modernization, and churn and engagement analysis.
Focus Areas
Areas where my work is strongest and most relevant to current data science, analytics engineering, and applied AI roles.
Analytics Engineering
Semantic layers, dbt-style modeling, dashboard lineage, and trusted reporting workflows.
Applied ML
Recommendation systems, churn modeling, clustering, anomaly detection, and predictive analytics.
Cloud Data Systems
AWS pipelines using S3, Lambda, Glue, RDS, SageMaker, Personalize, and QuickSight.
AI Impact Measurement
Measuring how AI impacts company productivity and how work gets done.
Start Here
Direct links to the most useful parts of my professional work: portfolio projects, technical writing, code, and professional profile.
Selected Projects & Work
Selected professional work and portfolio projects. Public case studies and repositories will be added as portfolio builds are completed.
Heterogeneous Relation Database Semantic Merger Agnetic Workflow
Detect metric-definition inconsistencies across semantically similar datasets, transform into best-practice dbt project, compare, and propose human-reviewed fixes.
Causal Pricing Engine for Revenue Optimization
Portfolio project in progress: estimate price elasticity with causal-aware demand modeling, segment customers, and optimize pricing decisions for revenue.
A/B Testing Agentic Workflow for Product Optimization
Portfolio project in progress: Use establish product metric frameworks to perform experiments, evaluate performance, interpret results, adjust experimental approach using library of business metrics, and iteratively improve target Driver metrics.
Skills
A practical stack spanning machine learning, analytics engineering, data infrastructure, and stakeholder-facing analytics products.
Machine Learning & Analytics
Recommendation systems, A/B testing, churn modeling, causal inference, clustering, anomaly detection, regression, NLP, model evaluation, product analytics.
AI Tools
pi, Claude, ChatGPT.
Programming & Data
Python, SQL, R, Bash, MySQL, PySpark, pandas, scikit-learn, PyTorch, notebook-based analysis, production-oriented data workflows.
Cloud & Analytics Engineering
AWS S3, Lambda, Glue, RDS, SageMaker, Personalize, QuickSight, EventBridge, Step Functions, dbt-style modeling, ETL/ELT, semantic layering.
Communication & Leadership
Technical documentation, stakeholder translation, dashboard design, multilingual communication, cross-functional planning, mentoring, and project execution.
Certificates
AWS certifications supporting cloud architecture, development, and data engineering work.
Experience
Professional experience across applied ML, analytics engineering, healthcare analytics, cloud data systems, and international business contexts.
Current Focus
Austin Windsor
Infrastructure Data Scientist at Shopify focused on measuring the impact of AI on company productivity.
- Taipei, Taiwan / Remote
- austin.windsor05(at)gmail.com
Education
M.S. Computer Science, Machine Learning Specialization
Georgia Institute of Technology
Graduate coursework focused on machine learning, algorithms, data systems, and applied computing.
B.S. Industrial & Systems Engineering
Georgia Institute of Technology
Training in optimization, statistics, operations research, and probabilistic systems.
Professional Experience
Infrastructure Data Scientist
Shopify · Current
Measure the impact of AI on company productivity.
Cloud Data Scientist / Applied ML
Entertainment Streaming Media · Taipei
Built analytics and ML systems for streaming engagement, recommendations, subscription behavior, and operational reporting using AWS and SQL-based pipelines.
Data Science Manager / Consultant
KPMG · United States
Delivered healthcare, policy, and business analytics using statistical modeling, anomaly detection, visualization, and stakeholder-facing technical communication.
NLP Research Intern
NTT · Kyoto, Japan
Worked on NLP research using language models, embeddings, corpus augmentation, and model evaluation in a Japanese-speaking R&D environment.
Contact
For professional opportunities, collaborations, or project discussions, contact me by email or LinkedIn. I write my email with “(at)” to reduce scraping.
Location
Taipei, Taiwan / Open to international roles
austin.windsor05(at)gmail.com