Jesús Bosch

Data Scientist

https://talent.gravityer.com/jesus-bosch

3x founder, 1 Exit, Barcelona. Geeking out here on AI agents, Chrome extensions and Workspace add-ons. Finishing a Data Science degree.

Barcelona

Key Strengths

Demonstrated interest in data analysis and machine learning concepts through personal projects.
Experience with Jupyter Notebook for data exploration and analysis.
Familiarity with core statistical and machine learning techniques such as Linear Regression, Probability Distributions, Outlier Detection, PCA, and Multi-Dimensional Scaling.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily focus on data science and machine learning, which aligns with a Data Scientist role. However, the projects are all personal and lack diversity in team collaboration or real-world application contexts. The absence of professional experience or certifications limits the assessment of cultural fit beyond technical alignment.

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

zapier-connector-skill

April 28, 2026 – Present

A Claude Code skill that generates production-ready Zapier integrations for any SaaS. Webhook triggers, REST actions, security tests, and Zapier app definition, all from a single config file.

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chrome-store-screenshots

April 26, 2026 – Present

AI skill for generating Chrome Web Store screenshots. Built for Claude Code, Cursor, Windsurf and other AI agents.

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LinearRegression_maths

June 25, 2025 – June 28, 2025

LinearRegression_maths — repository

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Probability_Distributions_Cheat_sheet

June 14, 2025 – June 18, 2025

Probability_Distributions_Cheat_sheet — repository

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MDS-Multi-Dimensional-Scaling-with-Python

May 4, 2025 – May 4, 2025

MDS-Multi-Dimensional-Scaling-with-Python — repository

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jrbayguade-Data_treatment_Dimensionality_Reduction_Factorial_Analaysis

May 4, 2025 – May 5, 2025

jrbayguade-Data_treatment_Dimensionality_Reduction_Factorial_Analaysis — repository

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DataTreatment_DimensionalityReduction_PCA

May 3, 2025 – May 6, 2025

DataTreatment_DimensionalityReduction_PCA — repository

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ComparingOutlierDetectionMethods

April 29, 2025 – April 29, 2025

Different methods for comparing outliers in data analysis with Python

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DataTreatment_UNIR_T6_Outlier_detection

April 28, 2025 – April 29, 2025

Practice notebook for Data Treatment (Topic 6) - UNIR

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Data_Analysis_with_Python

April 23, 2025 – May 10, 2025

Introduction to Data Analysis with Python. Docummented code of concepts from statistics and probability and modeling with Python.

View Project

Key Strengths

Demonstrated interest in data analysis and machine learning concepts through personal projects.
Experience with Jupyter Notebook for data exploration and analysis.
Familiarity with core statistical and machine learning techniques such as Linear Regression, Probability Distributions, Outlier Detection, PCA, and Multi-Dimensional Scaling.

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.

Jesús Bosch

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit