Resume
Professional Summary
Data Visualization Engineer with extensive experience in Data Science, AI, and automation. Led efforts that remediated over 5M vulnerabilities for a global media company and improved asset management and data hygiene by 50%. Developed data scraping and automation systems boosting ticket broker revenue by 35%. Thrives in cross-functional, high-impact environments and adapts rapidly to new technologies.
Education
Marquette University – Milwaukee, WI
BS in Computer Science and Data Science | Minor: Marketing
Capstone: Crime and police relationships via Bayesian clustering
Johns Hopkins University – Baltimore, MD
MS in Data Science
Focus: Neural Networks, Statistical Models, Optimization
Work Experience
News Corp – Remote
Data Visualization Engineer and Vulnerability Team Lead
- Led vulnerability tracking across global units using Looker and BigQuery.
- Automated scraping of 100M+ vulnerabilities to reduce patch time by 25%.
- Collaborated globally to improve compliance, hygiene, and investigation rates.
Logitix – Remote
Automation Engineer
- Developed Puppeteer/CDP/Selenium bot suite with 95% stealth success rate.
- Integrated C# ticket APIs and built UI automation toggles for real-time ops.
Seeing Machines – Tucson, AZ
Senior Test Engineer
- Engineered QA processes for Linux-based driver safety systems.
- Reduced log download time by 150% via Python automation.
Ultimate Knowledge Institute – Remote
Data Visualization Engineer
- Built DoD visualizations improving 10,000+ user performance.
- Used Databricks, Airflow, and Azure for backend and visual analysis.
Faro Technologies – Lake Mary, FL
Lead Systems Test Engineer
- Improved customer satisfaction by 20% through better QA and feedback loops.
- Built data pipelines and visual dashboards for real-time accuracy tracking.
Genalpha Technologies – Brookfield, WI
Data Analyst
- Improved part pricing analysis increasing sales by $500K.
- Created bundling algorithms and product upselling tools in Python.
Brass Light Gallery – Milwaukee, WI
Website Manager / Web Dev Intern
- Developed front-end UI using Java, C#, and REST APIs.
- Improved customer retention by 25% through website UX enhancements.
Selected Projects
- ThunderBoard™ Mental Health App (Sensor Analysis)
- Monte Carlo True Positive Identification Model
- Bipartite Matching Algorithm for Pilot Products
Technology Summary
Python, Java, C++, C#, HTML/CSS, JavaScript, SQL, Snowflake, BigQuery, Selenium, Looker, PowerBI, Tableau, Splunk, Azure, GCP, AWS S3, Boto3, Databricks, PySpark, Airflow, Git, Postman, Puppeteer, CDP, Linux, JIRA, UML, .NET
© 2025 Connor Boos. All rights reserved.