About
I am a data scientist and analytics engineer with experience building machine learning, cloud analytics, and decision-support systems across streaming media, healthcare, banking, telecommunications, and supply chain contexts. My work focuses on turning messy operational data into reliable analytics products, ML systems, and business-facing tools.
Data Scientist & Analytics Engineer
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: windsor929(at)gmail.com
- Education: M.S. Computer Science, Georgia Tech
- Focus: ML, analytics engineering, cloud data systems
- Languages: English, Mandarin, French, Japanese, Spanish
Recent work includes AWS Personalize recommendation systems, QuickSight reporting pipelines, dbt-style analytics modernization, churn and engagement analysis, and data products for international streaming audiences.
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.
Global Analytics
Multilingual and multi-region analytics across English, Mandarin, French, Japanese, and Spanish contexts.
Selected Projects & Work
Selected professional work and portfolio projects. Public case studies and repositories will be added as portfolio builds are completed.
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.
Agentic Multilingual Analytics Layer
Portfolio project in progress: detect metric-definition inconsistencies across multilingual, multi-region datasets and propose human-reviewed fixes.
Streaming Recommendation System
Built AWS-based recommendation workflows using user-item interactions, metadata, filtering logic, and reporting tools for an international streaming platform.
Analytics Modernization & Semantic Layering
Modernizing legacy SQL reporting into clearer, documented, lineage-aware analytics models for subscription, churn, engagement, and product reporting.
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.
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
Data scientist and analytics engineer focused on applied ML, cloud analytics, recommender systems, causal decision systems, and multilingual analytics.
- Taipei, Taiwan / Remote
- windsor929(at)gmail.com
- Download resume
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
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 Summer Research Scientist
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
windsor929(at)gmail.com