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I'm Pablo Lozano, a versatile engineer passionate about applying data science and AI to real-world problems. I enjoy turning data into actionable insights that help businesses grow and operate more efficiently. I'm experienced in ML model development for space systems, cybersecurity automation, and education, with a focus on safety, reliability, and performance in constrained environments.…

Pablo Lozano

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm Pablo Lozano, a versatile engineer passionate about applying data science and AI to real-world problems. I enjoy turning data into actionable insights that help businesses grow and operate more efficiently. I'm experienced in ML model development for space systems, cybersecurity automation, and education, with a focus on safety, reliability, and performance in constrained environments.…

Available to hire

I’m Pablo Lozano, a versatile engineer passionate about applying data science and AI to real-world problems. I enjoy turning data into actionable insights that help businesses grow and operate more efficiently.

I’m experienced in ML model development for space systems, cybersecurity automation, and education, with a focus on safety, reliability, and performance in constrained environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Spanish; Castilian

Fluent

English

Fluent

Work Experience

Teacher Assistant for Data Preparation and Analysis at Illinois Institute of Technology

May 1, 2025 - September 24, 2025

Mentored students in data preparation and exploratory data analysis (EDA) using Python, R, and reproducible analysis workflows to support coursework and project work.

R1 Researcher in Space Systems at UPM – Real-Time Systems and Telematic Services Architecture Department (STRAST)

December 1, 2024 - September 24, 2025

Developed and refined ML models for the OAPES project, ensuring compliance with safety-critical aerospace standards and achieving ±0.1°C thermal control precision. Implemented reinforcement learning models with DDPG to improve real-time control on UPMSat-3. Engineered AI-based systems to increase satellite adaptability and reduce thermal fluctuations by 20%. Developed safe RL design, implementation, and validation methodologies. Processed and generated datasets for training/testing with rigorous data cleaning and analysis. Enhanced memory and processor efficiency in real-time computing hardware, reducing computational overhead by 35% for ML models in constrained environments.

Cybersecurity Intern at NTT DATA

July 1, 2023 - September 24, 2025

Automated security incident response workflows in Python, reducing manual workload by 40% and enhancing data analysis and response efficiency. Developed over 50+ detection rules within SIEM platforms using the MITRE ATT&CK framework.