Silvia Arellano

Data Scientist

https://talent.gravityer.com/silvia-arellano

PhD student in AI for gesture generation @KTH | Graduated in Electrical Engineering and Machine Learning

Stockholm

Key Strengths

Demonstrated proficiency in Python across multiple personal projects, which is a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development in Data Science.
Exposure to machine learning concepts through projects like 'semi-supervised-learning-oxford-IIIT-pet' and 'Motion-In-betweening', indicating foundational interest in the field.
Diverse project portfolio showcasing problem-solving skills and ability to work with various technologies.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is entirely personal, which indicates self-motivation and initiative. However, the projects are diverse in nature, ranging from web development to 3D graphics and AI, which might suggest a broad interest rather than a focused passion for data science. The lack of team-based projects or professional experience makes it difficult to assess collaboration or cultural alignment within a professional team setting. The projects are primarily academic or hobby-driven, which may not directly translate to industry-specific cultural norms.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

seamless_visualizer

April 15, 2026 – Present

Python visualizer for the Seamless Interaction dataset

View Project

silviaarellanogarcia.github.io

July 21, 2025 – Present

silviaarellanogarcia.github.io — GitHub repository

View Project

AutonomousAgentNavigation

May 11, 2025 – May 11, 2025

Implementation of path planning algorithms for cars and drones in Unity (C#).

View Project

Motion-In-betweening

September 18, 2024 – April 19, 2025

Motion-In-betweening — GitHub repository

View Project

PacManCaptureTheFlag

May 8, 2024 – May 11, 2025

PacManCaptureTheFlag — GitHub repository

View Project

battlesnakes

May 6, 2024 – May 19, 2024

battlesnakes — GitHub repository

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semi-supervised-learning-oxford-IIIT-pet

April 22, 2024 – October 22, 2024

semi-supervised-learning-oxford-IIIT-pet — GitHub repository

View Project

Blender-Cloud-Generator

February 12, 2024 – February 24, 2024

Script to generate random clouds in Blender

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3D-Terrain-Generator

April 10, 2023 – June 16, 2023

3D-Terrain-Generator — GitHub repository

View Project

hackassistant

July 3, 2022 – January 29, 2024

Hackathon registration server.

View Project

Key Strengths

Demonstrated proficiency in Python across multiple personal projects, which is a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development in Data Science.
Exposure to machine learning concepts through projects like 'semi-supervised-learning-oxford-IIIT-pet' and 'Motion-In-betweening', indicating foundational interest in the field.
Diverse project portfolio showcasing problem-solving skills and ability to work with various technologies.

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.

Silvia Arellano

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit