Data Scientist & AI Engineer

Machine Learning · NLP · Forecasting · AI Agent Orchestration

PhD researcher (University of Leeds) who turns complex data into decisions — and increasingly into shipped products. I build rigorous statistical and ML models, and orchestrate AI agents to ship full-stack, AI-powered SaaS end-to-end.

600+
Projects delivered
4.9★
280+ client reviews
10+ yrs
Data science
16
Publications

/ Selected Work

Real figures from past projects (anonymized — no client names or identifiable data). Click any figure to enlarge.

/ About

PhD data scientist and AI engineer with 600+ delivered projects (4.9/5 across 280+ reviews) for researchers, companies and NGOs in healthcare, finance, technology, education and the public sector.

I work across the full analytics stack — machine learning and NLP (Python, Hugging Face Transformers), forecasting, and advanced statistics (regression, mixed-effects, SEM, survival analysis, meta-analysis) in R and Python. Today I also orchestrate AI coding agents (Claude Code, Cursor) and no-code platforms (Base44) to build and deploy full-stack, AI-powered SaaS applications end-to-end.

Academic background: PhD in Urban Mobility & Data Science (University of Leeds — LIDA, an Alan Turing Institute partner), MSc & BSc in Production Engineering (UFPR, Brazil); IBM-certified in Machine Learning with Python; journal editorial-board member and peer reviewer.

AI & Machine Learning

AI Agent OrchestrationMachine LearningNLP / TransformersLLM Integration & EvaluationGenerative AIXGBoost / Random ForestDeep Learning

Statistics & Forecasting

Forecasting (ARIMA/GARCH)Survival AnalysisSEMMixed-EffectsBayesianMeta-AnalysisExperimental Design

Tools & Engineering

PythonRSQLSPSSPower BIETL / Big DataBase44 · Cursor · Claude Code

/ Selected Publications

Peer-reviewed, indexed journal articles (lead author).

Different people, different incentives? Examining the public acceptance of smartphone-based persuasive strategies for sustainable travel using psychographic segmentation
International Journal of Sustainable Transportation (Taylor & Francis), 2020 · Reis, Grant-Muller, Lovelace, Hodgson
doi.org/10.1080/15568318.2020.1836693 →
Critical Factors on Information Technology Acceptance and Use: An Analysis on Small and Medium Brazilian Clothing Industries
Procedia Computer Science (Elsevier), Vol. 31, pp. 105–114, 2014 · Reis, Freitas
sciencedirect.com →
Positive Incentives to Reduce Private Car Use: A Theory-Based Critical Analysis
International Journal of Humanities and Social Science, Vol. 11, 2017 · Reis
View abstract →