Tim Meehan
AVP, Data Science - CX Analytics
Lexington, Kentucky, United States
Summary
🤩
Rockstar🎓
Top SchoolTim Meehan is an AVP of Data Science specializing in CX analytics with a decade of experience using Python, SQL, and cloud technologies to drive marketing and customer-satisfaction improvements in insurance. He leads cross-functional teams that combine structured and unstructured data—CSAT surveys, operational metrics, and text—to boost retention, satisfaction, and premium growth. A pragmatic ML engineer, he has productionized models and optimized workflows (e.g., shrinking a fuzzy-matching job from two years of compute to 30 minutes) while promoting Python best practices and internal tooling. Tim's open-source contributions to high-profile projects like Presto and Airlift show deep backend and spatial-analytics expertise, including adding spatial aggregation functions and improving quantile digest performance. He pairs an electrical engineering background with hands-on analytics at IBM and Unum, bringing both low-level systems thinking and business-focused insight. Based in Lexington, KY, he combines rigorous performance tuning with a user-centric view of analytics to turn complex data into actionable CX improvements.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Electrical Engineering, minor in Business Administration, Bachelor's degree, Electrical Engineering, minor in Business Administration at University of Massachusetts at Lowell
Github Skills (27)
algorithm10
algorithms10
serializable10
serializer10
back-end-development10
geospatial10
data-structure10
java10
spatial-data10
serialization10
javas10
deserialization10
geo10
sql10
performance-optimization10
Programming languages (8)
Github contributions (5)
prestodb/presto
Jul 2018 - Nov 2022
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2417 reviews, 167 commits, 944 PRs in 4 years 4 months
Contributions summary:Tim primarily contributed to the Presto query engine's geospatial functionality. They upgraded the Esri geometry library and added the `geometry_union_agg` spatial aggregation function. Furthermore, the user documented the `geometry_union_agg` function and added the `ST_Union` scalar function to union an array of geometries for efficient spatial data processing. In addition, they made memory-accounting fixes for geometry aggregations.
distributed-sqlquerybigdataquery-enginesql
airlift/airlift
Oct 2018 - Nov 2018
Airlift framework for building REST services
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits, 4 PRs, 9 comments in 25 days
Contributions summary:Tim focused on optimizing and refactoring the `QuantileDigest` class, a core component for statistical analysis within the airlift framework. They addressed performance bottlenecks by removing unnecessary variables and improving memory usage. Furthermore, the user introduced new functionality, allowing for custom long-to-float conversion and improved serialization and deserialization capabilities for the `QuantileDigest` class, including restructuring the serialization format. These changes enhance the efficiency and flexibility of the library.
rest-apipythonrestrest-services
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