About
I have extensive international experience, having worked in Tokyo, Japan; Medellin, Colombia; Taipei, Taiwan; and various locations in the United States including Atlanta and Chicago. My career spans multiple industries such as Banking, Healthcare, Supply Chain, Telecommunications, and Entertainment Streaming Media.
I am a language lover and avid triathlete (Ask me how my IronMan training is going! hint: tiring... ) who ventured into the realm of data science and software development. I derive great satisfaction from creating clean, understandable systems and pipelines, making tangible societal impacts, and immersing myself in diverse, multicultural environments. My approach involves clear documentation, intuitive data visualization, and in-depth analysis of complex systems through advanced analytics.
At W Data Services in Taipei, within the Entertainment Streaming Media industry, I have been developing a nascent AWS cloud environment tailored for data science, analytics, and engineering processes. I integrate various AWS tools like S3, EC2, Lambda, and SageMaker to build scalable solutions. Previously, at KPMG LLP in Chicago, I modeled the US healthcare market to inform policy decisions, leading to significant cost savings and regulatory compliance improvements. My work also includes managing workstreams, improving anomaly detection models, and developing proof-of-concept projects with advanced visualizations.
I hold a Master of Science in Computer Science with a specialization in Machine Learning from Georgia Tech, in addition to a Bachelor of Science in Industrial and Systems Engineering from the same institution. I am proficient in multiple languages, including English, Spanish, French, and Japanese, and skilled in various programming languages and data analysis tools.
Data Scientist
An experienced Data Scientist delivering insights on healthcare policy, developing demos to expand business opportunities, and breaking down performance of cutting-edge research models on new data.
- Website: austinwindsor.github.io
- City: Chicago, USA
- Email: windsor929(at)gmail.com
- Degree: M.S. Computer Science, B.S. Industrial Engineering
- Availability: Available
Facts
Cups of Tea
Projects
Years of Experience
Certificates
Below is a breakdown of my professional certificates.
Skills
Below is a breakdown of my professional skillsets.
Languages
Below is a breakdown of my natural language proficiencies.
Resume
I've had the incredible opportunity to work with great teams, across different companies, across different regions. Below are but a few of my opportunities. To view more details, please view my resume in a PDF format.
View my resume as a PDF
Education
Master of Science in Computer Science
2024
Georgia Institute of Technology, Atlanta
Specialization in Machine Learning, ranked #7 by U.S. News & World Report's Graduate School Rankings.
Bachelors of Science of Industrial Engineering
2014 - 2018
Georgia Institute of Technology, Atlanta
The Stewart School of Industrial and Systems Engineering’s (ISyE) undergraduate program has been ranked the #1 program of its kind in the nation since 1991 according to the U.S. News & World Reports.
Previous Professional Experience
Data Scientist Manager
KPMG Digital Lighthouse (Data & Analytics)
Chicago, Illinois, USA
Healthcare Policy Analysis
2019 - Present
- Model US healthcare market to inform policy decisions to identify 13K of regulation violators (5%) and reduce unsubstantiated payouts by $130M
- Manage 3 workstreams for 2 stakeholders for data integrity, program insights, and ETL automation
- Expand KPMG presence to new divisions by creating workstream to guide client strategic decisions
- Generate visuals and metrics for year-end front office slide deck and world-leading, public reports
- Develop and present weekly statistical KPIs to client program leads using Tableau, Dash, PowerPoint
- Improve rigor of statistical model for consistent and outlier-resistant boundaries
Competitive Business Intelligence
2020
- Visualize KPMG and competitors’ market share to quantify KPMG accounts and growth opportunities
- Isolate trending solicitation types to anticipate future client needs and guide partner-level growth strategy
- Create opportunities for cross-account collaboration by analyzing inter-account data into single dashboard
Business Development Demos
2019 - Present
- Develop terrestrial and extraterrestrial geospatial 3D visualizations with interactive python functionalities
- Translate technical results from non-native English analytics team into C-suite level business insigh
- Leverage US census and healthcare data to insure uncovered and policy-eligible populations
Current Professional Experience
Cloud Data Scientist
W Data Services
2023 - Present
Taipei, Taiwan
Cloud Infrastructure Development
- Develop nacent AWS cloud environment to be compatible with data science, data analytics and data engineering processes
- Integrate data engineering/analytics/sciene tools such as S3, EC2, Lambda, IAM, Glue, Secrets, SNS, SES, CloudWatch, Aurora, QuickSight, SageMaker, Personalize, etc.
- Manage permissions to provide minimal necessary accessibility as per AWS best practices
Data Engineer
- Develop scheduled ETL pipeline micro-services using combinations of IAM, RDS, Lambda, Secrets, S3, Glue, SNS, SES, CloudWatch
- Enable large-data vizualization dashaboards for business analytics using AWS QuickSight
- Enable real-time personalized product recommendations using AWS Personalize
- Develop customizeed software to integrate enterprise platform with 3rd party services using Python and AWS tools
Data Scientist
- Develop churn explantory decision-tree-based model using AWS SageMaker, RDS, S3, Glue
- Enable real-time personalized product recommendations using AWS Personalize
GitHub Contributions (Recently using Client Code Repos)
Contact
I can be contacted via my email. To protect against web scrapers and malignant use of my email, I've substituted the '@' symbol of my email with (at). To receive a response from me, please complete my email address and use a descriptive email subject.