Vinícius Nunes da Costa

Data Scientist

https://talent.gravityer.com/vinicius-nunes-da-costa

Data Scientist | Computer Science BSc.

Bihar, India

Key Strengths

Demonstrated interest in Data Science and AI through personal projects like 'severstal-competition' (image segmentation) and 'hybrid-theory' (time series).
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to cloud concepts with AWS SAM and Docker for AI inference.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science, machine learning, and related areas. The diversity of projects, from database systems to image segmentation and time series analysis, suggests a curious and self-motivated individual. This aligns well with a culture that values continuous learning and proactive problem-solving. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

hybrid-theory

June 15, 2026 – Present

Apply hybrid ensemble methods, hierarchical coherence and dynamic selection theory into a Hierarchical Time Series pipeline with greedy top-k static selection.

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ai-front-scaffold

June 8, 2026 – Present

A template module that centralizes a reusable project convention for AI-first fronts.

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bio-quantum

March 6, 2026 – Present

Equipe dedicada a problemática de classificação de imagens médicas do Brasil Quantum Camp

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apac_prototype

October 29, 2025 – November 25, 2025

apac_prototype — GitHub repository

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severstal-competition

September 16, 2025 – September 16, 2025

Kaggle competition for image segmentation of surface defects on steel sheets. Utilizing Convolutional Neural Networks (CNNs) to localize and classify defects, presenting a challenge due to subtle defect types and complex textures.

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pickcells-db-cito

July 7, 2024 – August 5, 2024

pickcells-db-cito — GitHub repository

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aws-sam-docker-ai

May 29, 2024 – June 14, 2024

Toy problem for creating an AI inference with AWS-SAM python image with Docker and PyTorch

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mongo-bda

May 18, 2023 – June 2, 2023

mongoDB project for CS Adv. DB class

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cs-bda

March 21, 2023 – April 11, 2023

projeto para a disciplina de banco de dados avançado

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Projeto-Pluviometro

November 30, 2022 – December 2, 2022

Projeto-Pluviometro — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and AI through personal projects like 'severstal-competition' (image segmentation) and 'hybrid-theory' (time series).
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to cloud concepts with AWS SAM and Docker for AI inference.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Vinícius Nunes da Costa

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit