Tommy Unger
Data scientist specializing in user experience, platform performance & reliability

• emailtommy.unger@gmail.com
• locationSeattle, WA

Work experience

Hammerspace	Support & Services Data Engineer 2025 - current Design & build reporting/analytics systems for the Hammerspace data management/movement platform Build internal data pipeline+tools for cloud-based monitoring of customer Hammerspace fleet
CedarAI	Director of reporting & analytics 2022 - 2025 Design, implement data analytics systems for rail logistics using Python, SQL, duckdb, cloud infrastructure Build observability solutions with Datadog & data warehouse to measure/debug platform reliability Develop KPI framework & dashboards measuring system and user usage across business products
University of Washington	Instructor - data visualization 2016 - 2024 Teach a hands-on data visualization continuing education course for working professionals Focus on the scaffolding of data visualization strategies including: history of datavis, understanding your audience, data acquisition and cleaning, and building tool proficiency in Tableau and Excel
Qumulo	Data scientist lead, product manager 2014 - 2021 Lead data science team building distributed data pipelines for real-time performance monitoring (AWS, Kinesis, S3, Redshift) Design and deploy ML-driven performance optimization solution using statistical modeling and A/B testing, improving customer read performance by 40% Architect cloud-based observability platform with real-time streaming analytics, achieving 90% customer adoption for infrastructure monitoring
Redfin	Real estate data scientist 2013 - 2014 Conduct large-scale data analysis and statistical modeling of real estate markets and trends that achieved record web traffic engagement Build data analysis infrastructure using SQL, AWS Redshift, and visualization tools to process and analyze market performance metrics
Optify	Product manager - data & analytics 2009 - 2013 Design and manage real-time user tracking system processing millions of events daily, with distributed architecture for scalability Build predictive models and A/B testing frameworks to optimize platform performance and user engagement Lead data-driven decision making through experimental design, statistical analysis, and performance measurement across platform infrastructure
Zillow	Senior data analyst 2006 - 2009 Process and analyze billions of data points across distributed systems for national real estate market analysis Build automated reporting systems using statistical modeling and data pipelines, with outputs featured in WSJ and NYT Lead deployment of large-scale geospatial data platform serving millions of API requests, managing system reliability and performance
Microsoft	Software development engineer/test 2001 - 2005 Build stress testing scripts and automation for the ASP.Net web server platform Build a performance testing app & database system for measuring the speed & stability of ASP.Net/IIS

Patents

• Filesystem capacity and performance metrics and visualizations, 10,095,709 & 9,836,480
• Analyzing and visualizing trends in the use and consumption of data in a shared storage system, 10,318,494 & 10,409,784
• Client-aware pre-fetch policy scoring system & dynamic selection of file system pre-fetch policy, 10,614,033 & 10,474,635
• Recommending link placement opportunities, 20140188608

Tools & Technologies

• Programming: Python, SQL, C#, JavaScript | Infrastructure: AWS (Kinesis, S3, Redshift, CloudWatch), distributed systems | Data Science: Statistical modeling, A/B testing, model testing and validation | Observability: Datadog, monitoring systems, performance analysis | Databases: DuckDB, Redshift, PostgreSQL, InfluxDB, Prometheus

Education

• Computer science, BS, Georgia Tech: Human-computer interaction and data focus. Co-op program at Manhattan Associates and an education software startup. Member of Georgia Tech Soccer Club team. Volunteer mentor, Techwood Tutorial Project