Alexander José Castillo Espinosa

Data Scientist

https://talent.gravityer.com/alexander-jose-castillo-espinosa

Industry 4.0 Engineer · Industrial Data Analyst · OT/IT Integration Specialist · Electromechanical Engineer. Building I4.0 solutions

Open to opportunities

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Azure ML and Python for predictive modeling.
Exposure to simulation and industrial automation concepts (FlexSim, CODESYS, PLC) which can be beneficial in certain data science applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project diversity, including discrete event simulation and PLC programming alongside data science, suggests a broad technical curiosity. The target role of 'Data Scientist' aligns with the primary focus of their recent projects. However, the lack of professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and 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

smart-manufacturing-predictive-maintenance

April 22, 2026 – Present

smart manufacturing model python + azure

View Project

PLC-CODESYS-BottlingLine

April 9, 2026 – Present

Modular automated bottling line simulation in CODESYS using Structured Text and Ladder Logic · CODESYS · PLC · Industry 4.0

View Project

DES-FlexSim-EstaciondelNord

April 7, 2026 – Present

Discrete Event Simulation of passenger queuing and bus frequency optimization at Barcelona's Estació del Nord · FlexSim · Industry 4.0 · UPC

View Project

alexanderj-castillo

April 7, 2026 – Present

Profile README

View Project

azure-ml-practice

March 12, 2026 – Present

Azure practice models

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Azure ML and Python for predictive modeling.
Exposure to simulation and industrial automation concepts (FlexSim, CODESYS, PLC) which can be beneficial in certain data science applications.

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.

Alexander José Castillo Espinosa

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit