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Assessing your cultural and operational fit
CSC - IT Center for Science
Data Scientist
June 26, 2026 – Present
julia-for-hpc
January 14, 2022 – December 12, 2024
Lesson material for "Julia for high-performance scientific computing" workshops
View Projecthpc-container-wrapper
December 15, 2021 – Present
Tool to wrap installations into a container designed for use on HPC systems
View Projectpandoc-markdown-latex-pdf
June 6, 2021 – August 21, 2021
Example of how to produce scientific, academic, and technical PDF documents such as essays, reports, or thesis by writing Markdown and converting with Pandoc via LaTeX. We also included build and release automation with GitHub actions.
View Projectlumi-userguide
January 8, 2021 – Present
User documentation on the usage of LUMI resources
View ProjectCellLists.jl
September 24, 2020 – August 21, 2021
Julia language implementation of the Cell Lists algorithm to solve the fixed-radius near neighbors problem including serial and multithreaded algorithms.
View ProjectShelfSpaceAllocation.jl
June 8, 2019 – November 27, 2020
ShelfSpaceAllocation.jl is a Julia package for solving the retail shelf space allocation problem. Internally, it relies on mathematical optimization, where the model is a mixed-integer linear program.
View ProjectOneEuroFilter
December 21, 2018 – March 28, 2023
Simple Python and Julia implementations of the 1€ Filter. The codes can be used as a pseudocode for implementing the algorithm in other languages.
View ProjectMarkdown-Templates
January 12, 2018 – April 7, 2023
Templates for creating scientific, academic and technical documents using Markdown and Pandoc that support equations, code blocks, citations, Unicode symbols and vector graphics.
View Projectcell_lists
July 8, 2017 – Present
Fixed-radius near neighbors search algorithm implemented in Python using Numba and Numpy for performance.
View Projectcrowddynamics
March 22, 2016 – December 27, 2022
Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic/research-oriented, focusing on high-performance computing, scientific simulations, and data processing. While these align with a Data Scientist role, the lack of team-based or production-system projects makes it difficult to assess collaboration and broader industry cultural fit. The current role as 'Data Scientist' at a research center suggests a good initial fit for a technically demanding environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical implementation and problem-solving.