Antonio Piccolboni
Data Scientist
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolAntonio Piccolboni is a data scientist with 14+ years blending industrial impact and academic rigor, currently driving analytics at Decision Patterns from Oakland. He specializes in algorithm design and scalable big-data software for R, having led and contributed to widely used projects such as RHadoop/rmr2 and performance improvements to SparkR. His work spans bioinformatics and web-scale systems—cited 7000+ times—bringing deep experience in map-reduce algorithms, A/B testing, and ranking at companies like Quantcast and hi5. Antonio’s background as a principal consultant and open-source maintainer reflects a knack for turning research-grade methods into production-ready tools and pragmatic APIs. An unusual strength is his sustained focus on R developer ergonomics (packages like plyrmr, quickcheck and tidyr.big), making big-data workflows accessible to analysts as well as engineers.
15 years of coding experience
14 years of employment as a software developer
University of Milan
Github Skills (9)
statistics10
vectorization10
performance-optimization10
statistic10
r10
data-parsing9
dependency-manager8
data-analysis8
dependency-resolver8
Programming languages (22)
Github contributions (5)
RevolutionAnalytics/rmr2
Jul 2011 - Mar 2015
A package that allows R developer to use Hadoop MapReduce
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 1190 commits, 1 PR in 3 years 8 months
Contributions summary:Antonio's commits primarily involve code modifications related to package renaming within the `rmr2` repository. The code differences show changes in several R files, including `streaming.R`, `IO.R`, and files related to tests. The commit messages explicitly mention "package rename," indicating that the user was responsible for refactoring the codebase, potentially involving internal API adjustments and updating references to the renamed components.
hadoop-mapreduce
amplab-extras/SparkR-pkg
Apr 2014 - Mar 2015
R frontend for Spark
Role in this project:Back-end Developer
Back-end DeveloperContributions:13 commits, 1 PR, 10 comments in 11 months
Contributions summary:Antonio primarily focused on optimizing and improving the performance of existing R code within the SparkR package. Their contributions included significant speed and memory improvements, faster parsing of data, and the conversion of code to utilize vectorized operations. They also addressed code formatting issues, and fixed dependencies, specifically for the worker environment, to improve overall stability and functionality.
frontendspark
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