Henry Hinnefeld

Data Scientist

https://www.opentalent.in/henry-hinnefeld

Member since June 19, 2026

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'gitrisky' and 'terraingen'.
Proficiency in Python, a core language for Data Scientists, evident across multiple projects.
Experience with Jupyter Notebook, a common tool for data exploration and model development.
Exposure to web technologies (HTML, CSS, JavaScript) which can be beneficial for deploying data products or dashboards.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards problem-solving and independent learning, which aligns well with an innovative and self-driven culture. The diversity of projects, from algorithmic trading to scientific instrument interfacing, suggests adaptability and a broad range of interests. The focus on Python and data-related tasks indicates a good fit for a data-centric role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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

cta-alerts-git-scraper

November 16, 2022 – Present

cta-alerts-git-scraper — GitHub repository

View Project

terraingen

December 5, 2020 – December 5, 2020

test using Houdini paired with Machine Learning to generate plausible terrain

View Project

gitrisky

December 28, 2017 – Present

Predict code bug risk with git metadata

View Project

brewlog

October 29, 2017 – December 8, 2022

web app for logging coffee brews

View Project

alethiomoji

January 25, 2017 – November 25, 2020

An emoji golden compass

View Project

evetrader

June 12, 2016 – September 10, 2016

System for algorithmic trading in EVE Online

View Project

ppms

November 16, 2015 – September 9, 2019

Python code to interface with a Quantum Design PPMS DynaCool

View Project

bibcheck.py

August 24, 2015 – August 27, 2015

A python class / command line utility to do automated literature searches with Google Scholar

View Project

hinnefe2.github.io

July 27, 2015 – August 2, 2020

hinnefe2.github.io — GitHub repository

View Project

keithley

July 1, 2015 – April 13, 2016

A class to interface with a Keithley 2400 sourcemeter

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'gitrisky' and 'terraingen'.
Proficiency in Python, a core language for Data Scientists, evident across multiple projects.
Experience with Jupyter Notebook, a common tool for data exploration and model development.
Exposure to web technologies (HTML, CSS, JavaScript) which can be beneficial for deploying data products or dashboards.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Henry Hinnefeld

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit