Mike Pellegrini
Data Scientist
Town of Warwick, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMike Pellegrini is a data scientist with nine years of experience translating large-scale datasets into actionable forecasts and investment intelligence for U.S. industrial real estate, specializing in warehouse/distribution and flex/R&D markets. At Moody’s he leads sector analysis, producing metro- and submarket-level forecasts, reports, and client-facing insights that inform institutional investors, lenders, and strategists. He pairs rigorous econometric and data-engineering skills with clear storytelling to identify leasing drivers, absorption trends, and market inflection points. Previously he built data strategy and product capabilities—automating workflows and bridging sales, product, and research—to scale custom analytics and improve data quality. Beyond economics, he contributes technical work to major open-source projects like Elasticsearch and Kibana, spanning backend semantic-query features and front-end inference pipeline UX improvements. Based in the Hudson Valley, he blends practical market intuition with hands-on analytics and a knack for making complex models usable for decision-makers.
9 years of coding experience
4 years of employment as a software developer
BA, English, BA, English at Mercy University
Github Skills (26)
search-engine10
javascript10
amazon-elasticsearch10
eui10
typescript10
ui-design10
java10
javas10
uid10
elasticsearchquery10
aws-elasticsearch10
front-end-development10
typescript-types10
elasticsearch10
elastic-ui10
Programming languages (8)
Github contributions (5)
elastic/elasticsearch
Oct 2023 - Jul 2026
Free and Open Source, Distributed, RESTful Search Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1062 reviews, 359 PRs, 129 pushes in 2 years 9 months
Contributions summary:Mike's commits primarily focus on enhancing the Elasticsearch search engine's functionality, specifically related to the "Search Applications" feature. They addressed issues by returning 400 error responses when template rendering failed and also introduced functionality to add an Index Metadata Map to the Query Rewrite Context. Furthermore, the commits include the implementation of a "Semantic Query" and its integration within the system. In addition to backend logic and the Semantic Query implementation, the user's contributions include code for handling updates, adjustments to dense vector settings, and updates for synonym rules.
restrestfulsearch-engineelasticsearchjava
elastic/kibana
Oct 2023 - Jun 2025
Your window into all of your data
Role in this project:Front-end Developer
Front-end DeveloperContributions:41 reviews, 11 PRs, 5 pushes in 1 year 8 months
Contributions summary:Mike primarily contributed to the front-end development of the Kibana interface, specifically within the Enterprise Search plugin. Their work focused on refactoring and reorganizing UI components related to inference pipelines, including model selection and pipeline configuration. They implemented changes to the pipeline selector, updated the styling to align with other components, and fixed accessibility issues. Furthermore, the user modified and extended existing functionality, such as default pipeline naming to include model names.
elasticdashboardskibanaobservabilitywindow
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