Dr. Paulo Cysne

Dr. Paulo Cysne

Read the faculty profile of Dr. Paulo Cysne, including academic interests and professional background at Roosevelt International University of Baptist.

Dr. Paulo Cysne
Head of Department

Dr. Paulo Cysne

Head of Department - Data Science & AI

About the Professor

About Paulo Cysne

Paulo Cysne is a top data science executive with over a decade of experience in artificial intelligence, machine learning, and advanced analytics. His work involves developing and implementing scaled-up solutions that are data-driven in finance, banking, insurance, and e-commerce.

He works in the field of machine learning and large language models (LLM) and automation using AI, focused on how complex data can be translated into three main inertial actions of business and strategy.

Paulo is based in Geneva, Switzerland, and brings a global lens to data-driven transformation and AI governance. He is a member of The Johns Hopkins University community and has a following of over 32,000 practitioners, executives, and researchers in data science and artificial intelligence worldwide.

+1 307 295 0570 paulo.cysne@riuob.us
Core Competencies

Areas of Expertise

01
Machine Learning and Artificial Intelligence
Computers guess what happens next by spotting patterns. Machines learn from tons of examples without being told every step. Smart programs handle tasks once thought impossible for automation.
02
Large Language Models
LangChain, RAG, AI Agents, NLP applications – building sophisticated language models for enterprise use cases.
03
Data Science and Analytics
From raw information to clear answers – building paths that connect steps, shaping patterns, revealing what matters most for business decisions.
04
AI Strategy and Leadership
Teams come together when goals align. Defining where AI goes next happens through clear choices. Moving ideas forward depends on steady growth behind the scenes.
05
Financial and Risk Analytics
Spotting scams, judging loan risks, also handling rules automatically – comprehensive risk management through AI.
06
Machine Learning Operations
Production systems, cloud platforms (AWS, Azure), and scalability – ensuring reliable deployment of AI systems at scale.
Academic & Professional Background

Leadership & Positions

Paulo combines technical richness with executive-level understanding. His guidance helps organizations implement robust AI ecosystems that are not only high-performing but also interpretable, compliant, and ethical.

Head of Department · Present
Head of Department - Data Science & AI
Roosevelt International University of Baptist – Leading AI education, research, and industry-aligned curriculum development.
Senior Manager · Geneva
Senior Manager AI and Data Science
Independent Consultant, Geneva – Strategic AI implementation and data science leadership.
Head of Data Science · Former
Head of Data Science
UST Global – Leading cross-functional AI projects delivering cost reduction and efficiency improvements.
Director of Data Analytics
Director of Data Analytics
Data Science Startup Geneva – Building analytics capabilities and data-driven solutions.
Lead Data Scientist
Lead Data Scientist
Finance and Risk Analytics – Specializing in fraud detection, credit risk assessment, and automated compliance.
Roosevelt International University
Department of Data Science & AI
10+
Years Exp.
32K+
Followers
4.9
Rating
  • Machine learning and predictive modeling
  • Large Language Models (LLM) implementation
  • AI strategy and governance
  • Financial and risk analytics
  • MLOps and system deployment
Philosophy of Education
"Data is only valuable when it drives intelligent decisions and real-world impact."

— Paulo Cysne · Head of Department - Data Science & AI, Roosevelt International University of Baptist