Jorge Contreras

Data Scientist

https://talent.gravityer.com/jorge-contreras

Software engineering leader and builder

New YorkMember since June 23, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'aws-ml-specialty' and 'recommender'.
Exposure to various programming languages including Python, Go, JavaScript, and Shell.
Familiarity with cloud concepts (AWS, Terraform) and containerization (Kubernetes) through personal projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a proactive learning attitude through numerous personal projects covering diverse technologies. However, the projects are primarily personal and lack team collaboration context. The target role is 'Data Scientist', and while there are relevant projects, the overall depth and professional experience are not evident. The candidate's experience level is 0, which suggests a junior profile, potentially not aligning with senior-level expectations without further validation.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed.

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Projects

crossword-game

February 28, 2025 – February 28, 2025

crossword-game — repository

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pipeline

January 28, 2025 – January 28, 2025

Github pipeline example

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goapi

January 28, 2025 – January 28, 2025

Demo Rest API in Golang

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goscraper

January 28, 2025 – January 28, 2025

A simple demo of go concurrency

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houseprices

January 27, 2025 – January 27, 2025

predict house prices based on predefined features

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recommender

January 15, 2025 – January 19, 2025

recommender — repository

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aws-ml-specialty

December 8, 2024 – December 8, 2024

Study notes for AWS Machine Learning Specialty Certification

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tinyurl

November 24, 2024 – November 25, 2024

My implementation of URL shortener using terraform and AWS

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jorgecontreras

February 14, 2022 – December 3, 2025

jorgecontreras — repository

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kubernetes

March 9, 2021 – March 9, 2025

Kubernetes Certification Guides

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'aws-ml-specialty' and 'recommender'.
Exposure to various programming languages including Python, Go, JavaScript, and Shell.
Familiarity with cloud concepts (AWS, Terraform) and containerization (Kubernetes) through personal projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed.

Jorge Contreras

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit