I am a data scientist with a Master of Science in Data Science and a strong track record in end-to-end ML lifecycle. I enjoy bridging frontier research with real-world impact by designing, training, and deploying predictive models, including Gradient Boosting, Neural Networks, and LLM solutions. I am proficient in Python, MLOps (Docker, MLflow), and cloud platforms (Azure, AWS), and I am passionate about Responsible AI, interpretability, and building scalable, secure systems in agile, cross-functional teams. I have hands-on experience building robust data pipelines, automating model retraining, and collaborating with engineers and stakeholders to deliver measurable value. I am motivated to continue innovating in AI while ensuring safety, transparency, and accessibility.

Juan Andres Guevara Angel

I am a data scientist with a Master of Science in Data Science and a strong track record in end-to-end ML lifecycle. I enjoy bridging frontier research with real-world impact by designing, training, and deploying predictive models, including Gradient Boosting, Neural Networks, and LLM solutions. I am proficient in Python, MLOps (Docker, MLflow), and cloud platforms (Azure, AWS), and I am passionate about Responsible AI, interpretability, and building scalable, secure systems in agile, cross-functional teams. I have hands-on experience building robust data pipelines, automating model retraining, and collaborating with engineers and stakeholders to deliver measurable value. I am motivated to continue innovating in AI while ensuring safety, transparency, and accessibility.

Available to hire

I am a data scientist with a Master of Science in Data Science and a strong track record in end-to-end ML lifecycle. I enjoy bridging frontier research with real-world impact by designing, training, and deploying predictive models, including Gradient Boosting, Neural Networks, and LLM solutions. I am proficient in Python, MLOps (Docker, MLflow), and cloud platforms (Azure, AWS), and I am passionate about Responsible AI, interpretability, and building scalable, secure systems in agile, cross-functional teams.

I have hands-on experience building robust data pipelines, automating model retraining, and collaborating with engineers and stakeholders to deliver measurable value. I am motivated to continue innovating in AI while ensuring safety, transparency, and accessibility.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Spanish; Castilian
Fluent
French
Beginner

Work Experience

Data Science Researcher at CRIDA A.I.E
February 1, 2025 - Present
Implemented and refined various machine learning algorithms such as gradient boosting decision trees and neural networks to accurately estimate aircraft Take-Off Weight (TOW), impacting aircraft performance including trajectory and fuel consumption. Designed and maintained complex data pipelines to collect, clean, and integrate large-scale operational data from multiple sources supporting advanced analytical models. Collaborated with aviation experts to translate data insights into actionable decisions for flight optimization.
Data Mining Researcher at Quantil S.A.S
July 31, 2024 - September 4, 2025
Developed and validated mathematical models to drive process optimization and automation in complex operational environments. Created a Python matching algorithm to reconcile partial information with database records achieving an 80% match rate. Followed structured design and development methodologies such as CRISP-DM to ensure quality project execution.
Cybersecurity Analyst Intern at Indra
August 31, 2023 - September 4, 2025
Handled incident management and threat hunting reports to restore normal service operation minimizing harm to business operations. Developed and deployed predictive models to enhance threat detection and reduce false positives in cybersecurity platforms. Extracted structured insights from unstructured security logs to improve information retrieval. Managed backups across platforms to prevent data loss and protect against malicious attacks.
Data Mining Researcher at Quantil S.A.S
September 1, 2023 - July 1, 2024
Applied the CRISP-DM methodology to structure data science projects, ensuring alignment with business needs and quality standards. Validated optimization and ML models to automate processes, demonstrating an analytical mindset focused on value and efficiency. Developed a Python-based record-matching algorithm using fuzzy matching techniques, achieving approximately 80% success rate and improving data quality for decision-making.

Education

Master of Science in Data Science at Universidad Politécnica de Madrid
September 1, 2025 - September 4, 2025
Bachelor of Science in Applied Mathematics and Computer Science at Universidad del Rosario
January 1, 2019 - October 1, 2023
Master of Science in Data Science at Universidad Politécnica de Madrid
September 1, 2025 - December 15, 2025
Bachelor of Science in Applied Mathematics and Computer Science at Universidad del Rosario
January 11, 2030 - October 1, 2023

Qualifications

Scholarship for Master’s Final Project development at CRIDA A.I.E, Universidad Politécnica de Madrid
January 1, 2025 - September 4, 2025
Academic Merit Scholarship, Universidad del Rosario
January 1, 2019 - January 1, 2023
Scholarship for Master’s Final Project development
January 1, 2025 - December 15, 2025
Academic Merit Scholarship
January 1, 2019 - December 31, 2023

Industry Experience

Transportation & Logistics, Software & Internet, Professional Services, Government, Other, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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