Benjamin Scholtz

Data Scientist

https://talent.gravityer.com/benjamin-scholtz

Member since June 26, 2026

Key Strengths

Demonstrated proficiency in Python and Jupyter Notebooks, crucial for data science roles.
Experience with simulation and modeling frameworks (radCAD, ethereum-economic-model, commons-simulator) indicates a strong analytical and quantitative background.
Exposure to Rust and Nix suggests an interest in performance-oriented and reproducible environments, which can be beneficial in data engineering aspects of data science.
Personal projects like 'ethereum-economic-model' and 'radCAD' show initiative and a deep dive into complex system design and analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily skewed towards personal, open-source contributions, indicating a self-driven and curious individual. The diversity of technologies (Rust, Python, JavaScript, Nix, Shell) suggests adaptability and a broad interest in different technical domains. However, the projects are predominantly in blockchain/simulation and CLI tools, which may or may not align directly with the specific cultural or domain focus of a given organization. The target role is 'Data Scientist', and while there are relevant projects, the overall breadth of data science specific applications beyond simulation is not explicitly clear.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

simcraft

February 26, 2025 – November 20, 2025

The IDE and Discrete-Event Simulation (DES) framework for visual simulation modelling.

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developer-mentoring

April 20, 2022 – April 6, 2024

Developer Mentoring Guide Playground

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ethereum-economic-model

February 23, 2021 – August 14, 2024

A modular dynamical-systems model of Ethereum's validator economics

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radCAD

August 23, 2020 – Present

A Python framework for designing, testing, and validating complex systems through modelling and simulation.

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commons-simulator

December 18, 2019 – January 5, 2023

Giving people the ability to easily simulate their own custom Commons with cadCAD

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awesome-bonding

October 1, 2019 – April 25, 2022

A curated list of token bonding curve code and resources.

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nix-shells

September 9, 2019 – March 31, 2020

Assorted Nix development shells

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pier

March 5, 2019 – Present

A CLI to organize and run short Unix shell scripts

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wa-avd-docker

August 23, 2018 – July 16, 2021

A Docker image based on Ubuntu Desktop with VNC and noVNC access, that runs a lightweight Android Virtual Device with WhatsApp pre-installed.

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awesome-nerves

February 28, 2017 – November 16, 2023

An awesome list of Nerves libraries and resources

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Key Strengths

Demonstrated proficiency in Python and Jupyter Notebooks, crucial for data science roles.
Experience with simulation and modeling frameworks (radCAD, ethereum-economic-model, commons-simulator) indicates a strong analytical and quantitative background.
Exposure to Rust and Nix suggests an interest in performance-oriented and reproducible environments, which can be beneficial in data engineering aspects of data science.
Personal projects like 'ethereum-economic-model' and 'radCAD' show initiative and a deep dive into complex system design and analysis.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects.

Benjamin Scholtz

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit