Matt Warren
Data ScientistContrast Security
Member since June 24, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Contrast Security
Data Scientist
June 24, 2026 – Present
corefx-standup
June 14, 2017 – October 12, 2017
CoreFX Contributors standups - dates, topics voting, etc.
View ProjectHillClimbingClrThreadPool
April 4, 2017 – April 19, 2017
Analysing the .NET ThreadPool 'Hill Climbing' Algorithm
View ProjectGCVisualisation
June 10, 2016 – August 8, 2016
Use ETW events to show what the .NET GC is doing
View ProjectHeapStringAnalyser
January 8, 2016 – September 6, 2016
Analyse Memory Dumps looking at .NET String types
View Projectmattwarren.github.io
December 11, 2015 – March 4, 2020
Blog at http://mattwarren.github.io
View ProjectMiniBench-WIP
January 6, 2015 – March 23, 2015
Somewhere to try out some ideas for MiniBench
View ProjectHdrHistogram.NET
May 20, 2014 – June 9, 2014
A .NET port of https://github.com/HdrHistogram/HdrHistogram
View ProjectStackOverflowTagServer
December 4, 2013 – November 16, 2015
StackOverflowTagServer — repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and highly technical, focusing on performance analysis and system internals. While this demonstrates strong technical curiosity and initiative, the lack of team-based projects or diverse domain experience makes it difficult to fully assess cultural fit for a collaborative Data Scientist role. The current role as 'Data Scientist' is a strong alignment, but the project history leans heavily towards system engineering rather than typical data science applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approaches, or communication style.