Costea Sigartău Alexandru

Data Scientist

https://talent.gravityer.com/costea-sigartau-alexandru

Member since June 27, 2026

Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks, as evidenced by 'derm_lens_ai' and 'StoryPointEstimator' projects.
Experience with deep learning frameworks (TensorFlow) and model training/evaluation.
Familiarity with containerization using Dockerfile, which is beneficial for deploying data science models.
Exposure to various programming languages (Java, JavaScript, Rust, Kotlin, Dart) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in diverse technical areas, including security, web development, and game engines, in addition to data science. While this shows breadth, the focus on data science projects is limited to two out of ten, which might indicate a broader interest rather than a deep, singular focus on the target role. The lack of team-based or professional projects makes it difficult to assess collaboration or cultural alignment with a typical corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test results were provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

phishing-log-server

March 22, 2026 – Present

phishing-log-server — GitHub repository

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play_kingcrab_frontend

June 11, 2025 – June 12, 2025

Frontend for the Play KingCrab application

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play_kingcrab_backend

June 11, 2025 – June 24, 2025

Web API for the Play KingCrab application

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kingcrab-evaluation

June 2, 2025 – June 24, 2025

Training, evaluating and exporting module for neural networks used by the King Crab chess engine

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SecretsVault

May 3, 2025 – May 5, 2025

Secure vault for sensitive information with biometric protection and encrypted storage using Android Keystore.

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Store-Inventory

April 2, 2025 – April 2, 2025

An efficient inventory management app that allows real-time, seamless access for multiple users, with offline support and data synchronization.

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KingCrab

March 23, 2025 – June 12, 2025

A classical chess engine written in rust

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StoryPointEstimator

January 22, 2025 – May 6, 2025

A model for estimating story points value for Jira tasks

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derm_lens_ai

March 3, 2024 – April 6, 2024

A TensorFlow-based deep learning model for classifying skin tumors as benign or malignant.

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MyPasswordManager

January 2, 2024 – February 12, 2024

A Java application that encrypts passwords locally, allowing for secure management without relying on third-party services.

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Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks, as evidenced by 'derm_lens_ai' and 'StoryPointEstimator' projects.
Experience with deep learning frameworks (TensorFlow) and model training/evaluation.
Familiarity with containerization using Dockerfile, which is beneficial for deploying data science models.
Exposure to various programming languages (Java, JavaScript, Rust, Kotlin, Dart) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test results were provided.

Costea Sigartău Alexandru

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit