Suman
Bengaluru, Karnataka, India
Summary
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RockstarSuman Dey is a Senior Data Scientist based in Bengaluru with 10 years of experience building scalable AI and data products across asset & wealth management, corporate tech, retail pricing, and manufacturing. At JPMorgan Chase he focuses on production-grade ML solutions for finance, after roles at Walmart Global Tech and Tiger Analytics where he drove pricing, real-estate analytics, and manufacturing insights. He blends hands-on backend development—contributing to the high-profile Trino project by improving its Elasticsearch connector and documentation—with a strong data science toolkit honed during an MTech in Data Science from IIT Hyderabad. Suman mentors early-career data scientists and has a track record of replacing brittle patterns with robust, maintainable code in distributed systems. He is comfortable translating complex business problems into auditable, scalable models and pipelines that impact revenue and operations. Colleagues would describe him as pragmatic, detail-oriented, and curious about bridging open-source engineering with enterprise ML delivery.
10 years of coding experience
Stackoverflow
838reputation
264kreached
58answers
15questions
Github Skills (24)
amazon-elasticsearch10
java10
javas10
elasticsearchquery10
aws-elasticsearch10
sql10
query-engine10
elasticsearch10
elasticsearch-api10
testing9
databases9
database9
distributed-database9
big-data8
data-science7
Programming languages (3)
Github contributions (5)
trinodb/trino
Nov 2020 - May 2022
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:100 reviews, 7 PRs, 165 comments in 1 year 5 months
Contributions summary:Suman focused on enhancing the Elasticsearch connector for the Trino query engine. They addressed issues with predicate pushdown for IS NULL predicates, corrected behavior when multiple indices share the same alias, and fixed a flaky test related to information schema queries with aliases. Furthermore, they updated the project by replacing deprecated code patterns like `installModuleIf` with `conditionalModule` within various modules, including those related to the Elasticsearch connector and network topology. Also, added documentation for data types and predicates supported in Elasticsearch.
prestodbdbmsindexingjdbcbigdata
sumannewton/apache-ranger-client
Jul 2018 - Sep 2022
Feign Client for Apache Ranger APIs
Contributions:4 releases, 4 reviews, 13 commits in 4 years 3 months
apacheapache-rangerrangerfeignfeign-client
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