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Mina Nayernia | Gravity Talent Portal

Mina Nayernia

Mina Nayernia

Data Scientist

https://talent.gravityer.com/mina-nayernia

Member since June 25, 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/mina-nayernia

Top Skills

DartC++CMakeHTMLJupyter NotebookPythonTeXCSSSCSSVue

Skills

DartC++CMakeHTMLJupyter NotebookPythonTeXCSSSCSSVue

Projects

AudioPatternRecognitionProject

May 9, 2025 – May 31, 2025

AudioPatternRecognitionProject — GitHub repository

MSc_Thesis

January 17, 2025 – November 5, 2025

Investigating Ideological Biases and Censorship Risks in Commercial Large Language Models

Hotel-Business-Process

January 13, 2025 – January 13, 2025

Final Project of course "Business Process Engineering"

BPI-Challenge-2019-

January 13, 2025 – January 13, 2025

Final project of course "Business Information Systems"

SATSolver

March 28, 2024 – March 30, 2024

Final Project of course 'Mathematical Logic' in University of Milan

AVAC

July 30, 2022 – July 31, 2022

Automatic volume adjustment based on car speed

ProjectManagement_flutter

June 27, 2022 – June 27, 2022

bachelor's final project

TrainSE_Softwareengineering

December 26, 2021 – June 9, 2022

TrainSE_Softwareengineering — GitHub repository

TrainSE_SoftwareengineeringProject

December 26, 2021 – December 26, 2021

TrainSE_SoftwareengineeringProject — GitHub repository

linkedin_flutter

July 11, 2021 – July 25, 2021

linkedin_flutter — GitHub repository

Key Strengths

Demonstrated interest in Large Language Models through MSc Thesis project.
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks for data analysis and experimentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, showing initiative and a learning mindset. However, the diversity of technologies (Dart, C++, HTML, Python) across various project types (mobile apps, academic research, software engineering) suggests a broad interest rather than a focused alignment with a Data Scientist role. The lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

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