Enterprise knowledge assistants
Combine GraphRAG with governed organisational knowledge to create answers that are contextual, grounded, and traceable.
About Paulo
Paulo Cysne
Author · Speaker · AI & Data Advisor.
My work brings together writing, teaching, and hands-on experience in AI and data. I am based in the Geneva metropolitan area, with more than 15 years in data analytics and experience leading cross-functional teams across finance, banking, trading, retail, healthcare, insurance, and marketing.
LinkedIn profile
Selected use cases
Experience applied to consequential questions.
Representative applications of Paulo’s expertise across AI, connected data, graph analytics, and machine learning.
Financial risk intelligence
Connect transactions, counterparties, markets, and ownership structures to reveal risk patterns and support investigation.
Healthcare evidence networks
Link clinical, research, and operational information to improve evidence discovery and patient-pathway understanding.
Supply-chain resilience
Model suppliers, routes, assets, and external events to expose hidden dependencies and assess disruption scenarios.
Explainable decision systems
Blend machine learning, causal reasoning, and connected context so people can understand and challenge recommendations.
Customer and market intelligence
Map journeys, products, content, and communities to sharpen segmentation, recommendation, and commercial insight.
Education
Graduate studies in Data Science
The Johns Hopkins University
MBA in Quantitative Analysis
Heriot-Watt University · Edinburgh Business School
BSc in Physics
Federal University of Ceará
Languages
International by experience and outlook.
Fluent in English, German, French, and Portuguese; professional command of Spanish; basic Italian.
Speaking & teaching
Making advanced ideas accessible.
2025
LLM architectures
PyTorch Conference
2024
Backtesting with correlated data
Oxford Mathematical and Computational Finance Seminar
2025
A beginner’s guide to RAG agents
Professional lecture
Professional experience
A professional story, built across disciplines.
Current work
Principal Consultant — LLMs, AI & Data Science
Independent
Advising organisations on AI strategy, large language models, knowledge graphs, explainable AI, causal AI, machine learning, and advanced analytics.
Current role
Start date to be added · present
Previous roles
Head of Data Science
UST
Led data science capability, teams, roadmaps, and the delivery of advanced analytics initiatives in complex organisational settings.
Previous role
Dates to be added
Director of Data Analytics
Datacyz
Directed analytics work and multidisciplinary collaboration, connecting technical delivery with measurable business priorities.
Previous role
Dates to be added
Lead Data Scientist
Finance startup
Led applied data science in finance, combining modelling, domain knowledge, and practical product delivery.
Previous role
Dates to be added