Ben Brown

Data Scientist

https://talent.gravityer.com/ben-brown

Responsible AI Advocate | DeFake @ RIT | Ph.D. ECE Student

Ph.D. Student at RIT

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'jane-street-puzzle' and 'trackmania-rl'.
Experience with Python, a core language for Data Science.
Exposure to various programming languages (C++, Ruby, Swift, Kotlin, Objective C, Dart, JavaScript) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal exploration and learning across diverse technical areas. The 'Ph.D. Student at RIT' role as a Data Scientist aligns with the target role, suggesting a focused career path. However, the lack of team-based projects or professional experience beyond the current Ph.D. role limits the assessment of cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

parallel_rowhammer

December 11, 2025 – December 11, 2025

parallel_rowhammer — GitHub repository

View Project

jane-street-puzzle

May 15, 2025 – May 20, 2025

jane-street-puzzle — GitHub repository

View Project

TOODEEP

September 16, 2024 – January 18, 2025

general insanity and goofiness

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STAT-325

March 19, 2024 – March 25, 2024

STAT-325 — GitHub repository

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trackmania-rl

October 18, 2023 – March 4, 2025

Making a really bad driver slightly less bad

View Project

Learning-React

July 11, 2023 – July 14, 2023

Learning-React — GitHub repository

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bendoesai

June 13, 2022 – September 15, 2025

Config files for my GitHub profile.

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lmhs_geocaching

April 3, 2020 – December 27, 2022

Geocaching app for LMHS

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'jane-street-puzzle' and 'trackmania-rl'.
Experience with Python, a core language for Data Science.
Exposure to various programming languages (C++, Ruby, Swift, Kotlin, Objective C, Dart, JavaScript) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Ben Brown

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit