Geoff Rollins
Data Scientist | Analytics Engineer | Biophysics PhD
Professional Summary
- Data Scientist with strong quantitative background that spans data science, analytics engineering, and physics
- 10+ years experience delivering end-to-end data science projects using Python, R, and SQL
- Passionate about making data more useful and usable through analytics engineering
- Effective communicator – experienced in writing and presenting reports to both business and technical audiences; extensive remote experience
Work History
Tremendous | Senior Data Analyst
Atlassian | Principal Data Scientist | Sr Data Scientist
- [Data science] Partnered closely with product, engineering, design, and user research to size opportunities, design metrics, create dashboards, and measure feature launches targeted at boosting activation, paid conversion, and engagement in Trello and Confluence
- [Analytics engineering] Built dozens of data pipelines to accelerate analysis and reporting, including a data mart that made Trello data easier to understand and query
DataStax | Software Engineer in Test
- Tested Apache Cassandra at scale using Python, Jenkins and in-house tools
- Built custom dashboards and data pipelines in Python and R to make it easy for PM and dev teams to monitor test results and catch regressions early
- Safely refactored and added new functionality to a legacy ETL tool for extracting data from Jenkins and loading results into test tracking platform
Dropbox | Data Architect | Data Scientist
- [Data science] Led the development of a new customer satisfaction survey that influenced overall company strategy. My work covered all phases of the project: questionnaire design, population sampling, statistical analysis, and presentation of findings and recommendations to diverse set of stakeholders
- [Data science] Built predictive models of customer churn and worked with a cross-functional team to A/B test marketing campaigns to reduce churn; also built reporting pipelines and dashboards to track churn
- [Analytics engineering] refactored and optimized key data pipelines in Hive and Luigi to stabilize and speed up operational reporting for Customer Analytics team, eliminating significant technical debt along the way