Richard Strange

Data Scientist

https://talent.gravityer.com/richard-strange

Volcano Seismologist, Data Scientist

Oxford, England, United Kingdom

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with data wrangling concepts, as indicated by 'Data_Wrangling_Course_Oxford' project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-learning and exploration in data science and machine learning. The diversity of projects, from competitive programming (CodeWars) to academic course repositories (MachineLearningCourseOxford, AdvancedTopicsInPython), suggests a proactive and curious mindset. However, without professional experience or team-based projects, it's difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

SafeChess

April 28, 2025 – May 23, 2025

SafeChess — repository

View Project

docs

November 3, 2024 – November 3, 2024

docs — repository

View Project

Optimiser

November 3, 2024 – November 4, 2024

Optimiser — repository

View Project

git_from_scratch

June 22, 2024 – June 22, 2024

git_from_scratch — repository

View Project

dbt_sandbox

January 19, 2024 – January 21, 2024

for tutorials, experimentation etc...

View Project

ML-Portfolio

November 12, 2023 – December 17, 2023

ML-Portfolio — repository

View Project

CodeWars

November 6, 2023 – November 7, 2023

CodeWars — repository

View Project

MachineLearningCourseOxford

February 16, 2020 – February 18, 2020

Repo for the Oxford Env Res DTP ML Course

View Project

AdvancedTopicsInPython

January 20, 2020 – March 12, 2020

Oxford Advnaced Topics Course 2020

View Project

Data_Wrangling_Course_Oxford

April 4, 2019 – April 9, 2019

Teaching Resources for Data Wrangling and Pipelines Course

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with data wrangling concepts, as indicated by 'Data_Wrangling_Course_Oxford' project.

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.

Richard Strange

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit