Erik Kuitunen

Data Scientist

https://talent.gravityer.com/erik-kuitunen

EspooMember since June 29, 2026

Key Strengths

Demonstrated proficiency in multiple programming languages relevant to data science (Python, Julia, Matlab).
Experience with Jupyter Notebooks, indicating familiarity with data exploration and analysis environments.
Personal projects show initiative in exploring topics like MCMC parameter inference, empirical likelihoods, and digit recognition, which align with data science methodologies.
Exposure to GPU computing suggests an interest in performance optimization for data-intensive tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a strong inclination towards scientific computing and machine learning, which aligns well with a data-driven culture. The diversity of projects and technologies (Julia, Python, Matlab, Java) indicates adaptability and a willingness to learn new tools. However, without information on collaborative projects or team roles, assessing team collaboration aspects of cultural fit is not possible.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

EmpiricalLikelihoodToolbox.jl

February 27, 2026 – Present

Toolbox for performing MCMC parameter inference using empirical likelihoods

View Project

thesis-empirical-likelihoods

November 28, 2025 – Present

thesis-empirical-likelihoods — GitHub repository

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particle-physics-project

October 13, 2025 – October 29, 2025

particle-physics-project — GitHub repository

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PRML-digit-recognition

January 19, 2025 – January 27, 2025

PRML-digit-recognition — GitHub repository

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ADAML_PA

September 14, 2024 – January 17, 2025

ADAML_PA — GitHub repository

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GPUHarkkatyo

March 20, 2024 – January 16, 2025

GPUHarkkatyo — GitHub repository

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GPU-Computing

January 10, 2024 – February 21, 2024

GPU-Computing — GitHub repository

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lorentzian-mean-width

December 25, 2023 – January 16, 2025

lorentzian-mean-width — GitHub repository

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advent-of-code

December 7, 2023 – December 11, 2025

advent-of-code — GitHub repository

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OlioHT

March 20, 2020 – May 7, 2020

Olio harkkatyö

View Project

Key Strengths

Demonstrated proficiency in multiple programming languages relevant to data science (Python, Julia, Matlab).
Experience with Jupyter Notebooks, indicating familiarity with data exploration and analysis environments.
Personal projects show initiative in exploring topics like MCMC parameter inference, empirical likelihoods, and digit recognition, which align with data science methodologies.
Exposure to GPU computing suggests an interest in performance optimization for data-intensive tasks.

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.

Erik Kuitunen

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit