tiago alencar

Artificial Intelligence and Analytics Center of Excellence
Core focus areas:
Data engineering: pipeline development, data cleaning, transformation, and integration of complex datasets
Data science: predictive and statistical modeling, algorithm design, and machine learning
AI development: building intelligent systems and models tailored to specific business contexts
Translation & communication: al

Institutions:
IICA - Instituto Interamericano de Cooperación para la Agricultura;
Replick - Clinical and Applied Research Network in Chikungunya;
Raras Brasil (Rare Diseases);
Ministry of Health;
FIOTEC;
RUMO Logistics.

Developed machine learning models, logistic regression, clustering, and PCA for health-related studies (chikungunya, COVID-19, malaria, and rare diseases); achieved over 90%

Leading Smart Automations: Spearheaded machine learning models to personalize debt collection actions, enabling smarter financial engagement for the Rio Grande do Sul State Treasury Department.
Data Storytelling: Designed and delivered dashboards for SEFAZ-RS, ensuring complex predictive model results are clear and useful for stakeholders.
Impactful Business Reporting: Built comprehensive analytic

Multi-sensor Wildfire Prediction

We aim at creating a data collection system capable of dealing with multiplatform and multi-sensor (multispectral imaging, humidity, temperature, and others) data to build artificial intelligence models.

The data collection, data annotation, and data fusion system will handle different categories of data and platforms, as well as be easily integrated with other d

Strategic Leadership: Directed teams in process mapping, risk management, and performance indicator development to support national defense strategy.
Data-Driven Decision-Making: Created and implemented the Air Force Command Indicator System, delivering critical insights to the High Command for strategic planning at the national level.
Powerful Visualization Tools: Developed dashboards for Aviatio

Directed teams on process mapping, risk management, and performance indicator development to support national defense strategy. Built dashboards (Power BI, Qlik Sense), automated reporting, and used machine learning to reduce deployment times; developed SQL queries to streamline data retrieval.

Data manipulation with SQL;
Creation of Dashboards for decision making by the Board of Directors;
Creation of Marketing Strategies to increase the company's revenues (cost reduction, sales increase, cancellation reduction);
Management dashboards of regional results.

statistical modeling: Developed statistical analyses and experiment design for master's and doctoral students, using descriptive statistics, regression analyses, ANOVA, A/B testing, feature engineering and parametric and non-parametric tests.

Aluno Especial