Gediminas Kiršanskas

Data Scientist

https://talent.gravityer.com/gediminas-kirsanskas

Member since June 25, 2026

Key Strengths

Extensive experience with Python for scientific computing and data manipulation, as evidenced by numerous personal projects.
Proficiency in C++ indicates a strong foundation in performance-critical programming and system-level development.
Experience with Jupyter Notebooks suggests familiarity with interactive data analysis and presentation.
Background in quantum mechanics (QmeQ projects) and hydrological modeling (MIKE projects) demonstrates domain-specific application of programming skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on scientific computing and specific domain applications (quantum mechanics, hydrology). While demonstrating deep technical engagement, the lack of diverse project types (e.g., web development, machine learning, large-scale data engineering) might indicate a narrower scope of interest or experience, which could impact cultural fit for roles requiring broader data science applications. The projects are all personal, which limits insight into team collaboration or industry best practices.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.

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Projects

mikepluspy

August 30, 2023 – Present

MIKE+Py: Streamline your MIKE+ workflows

View Project

MikeHydroBasin-Examples

May 2, 2022 – May 2, 2022

MikeHydroBasin-Examples — GitHub repository

View Project

qgis-res1d-plugin

August 2, 2021 – June 5, 2024

qgis-res1d-plugin — GitHub repository

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mikeio1d

May 5, 2021 – Present

Read res1d and xns11 files.

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mikecore-python

March 4, 2021 – Present

MIKE Core in Python

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Mike1D-SDK-examples

May 9, 2018 – Present

MIKE 1D SDK examples

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qmeq_elph

September 26, 2017 – September 22, 2018

QmeQ extension with electron-phonon interactions

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test-deploy-qmeq

July 18, 2017 – June 9, 2021

test-deploy-qmeq — GitHub repository

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qmeq-examples

December 8, 2016 – June 12, 2021

QmeQ examples

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qmeq

May 2, 2016 – May 5, 2024

QmeQ: an open-source Python package for calculations of transport through quantum dot devices.

View Project

Key Strengths

Extensive experience with Python for scientific computing and data manipulation, as evidenced by numerous personal projects.
Proficiency in C++ indicates a strong foundation in performance-critical programming and system-level development.
Experience with Jupyter Notebooks suggests familiarity with interactive data analysis and presentation.
Background in quantum mechanics (QmeQ projects) and hydrological modeling (MIKE projects) demonstrates domain-specific application of programming skills.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Gediminas Kiršanskas

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit