Help & Supportcareers@gravityer.com

Fredrik Sjöstrand | Gravity Talent Portal

Fredrik Sjöstrand

Fredrik Sjöstrand

Data Scientist

https://talent.gravityer.com/fredrik-sjostrand

Member since June 22, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/fredrik-sjostrand

Top Skills

typescriptJavaScriptHTMLPythonJustBatchfilePowershellLuaC++QMakeMakefileJupyter NotebookASP

Skills

typescriptJavaScriptHTMLPythonJustBatchfilePowershellLuaC++QMakeMakefileJupyter NotebookASP

Projects

testionary

September 16, 2025 – October 6, 2025

Inspectable dictionaries for testing in Python

fronkan.github.io

June 7, 2025 – June 7, 2025

fronkan.github.io — repository

spelsylt4

May 23, 2020 – November 24, 2020

spelsylt4 — repository

activate_env

February 8, 2020 – February 24, 2020

A set of scripts to find and activate a Python virtual environment in the local directory

spelsylt3

September 8, 2019 – September 21, 2019

Repo for my game submission into the Kodsnacks Tvåveckorssylt - Tredje Omgången (https://itch.io/jam/spelsylt3)

yatzy-2019

August 19, 2019 – August 23, 2019

Alten Accelerate Yatzy 2019

advent_of_code_2018

November 30, 2018 – December 13, 2018

Repo for advent

placeholder_climb

November 25, 2018 – November 26, 2018

A game created for the Kodsnack gamejam: "tvåveckors sylt" 2018: https://itch.io/jam/kodsnacks-2veckorssylt

ProjectDuck

November 11, 2016 – November 13, 2016

Game Jam November 2016.

Key Strengths

Demonstrated personal initiative through multiple personal projects.
Exposure to Python, which is relevant for Data Scientist roles.
Experience with Jupyter Notebooks, a common tool in data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal development and game jams, indicating a self-starter attitude and passion for problem-solving. However, the projects are not directly aligned with typical data science applications, which might require a shift in focus. The diversity of technologies used suggests adaptability.

Soft Skills & Operational Fit

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