Creation, maintenance, evaluation and deployment of machine learning models. Design and Development of backend applications/services. building automated data pipelines for feature engineering and data integration. Automating deployment of web applications and ML models using CI/CD and MLOps practices. Performed exploratory data analysis on extensive datasets.

Coordinator of the Specialization in Data Science Professor of Disciplines: -Extraction, Transformation and Data Load; -Development in Information Retrieval; -Projects in Data Science;

* SIASAR Project (Rural Water and Sanitation Information System): international project with the participation of more than 10 countries. Our team was responsible for the ETL, Data Analysis and BI process. - Technical leadership - Responsible for the software project and its architecture - Development of the ETL process - Development of the indicator calculation module - Datawarehouse development - Data Analysis and Business Intelligence Stack: Python, Pandas, Django… Show more * SIASAR Project (Rural Water and Sanitation Information System): international project with the participation of more than 10 countries. Our team was responsible for the ETL, Data Analysis and BI process. - Technical leadership - Responsible for the software project and its architecture - Development of the ETL process - Development of the indicator calculation module - Datawarehouse development - Data Analysis and Business Intelligence Stack: Python, Pandas, Django, Django Rest framework, Pentaho ( Server, Report, Schema Workbench, Data Integration (PDI) and Dashboard Editor (CDE)), Saiku Analytics. * “Sistemas Cidades” project: ERP web platform with various modules for managing corporate activities. - Elaboration, follow-up, specification and development in Software Projects. - Architecture development and maintenance. - Data Analysis and Business Intelligence Stack: J2EE, Spring (MVC, Data, Spring Boot, REST, Security), Primefaces, Hibernate JPA, JSF, React(JS/Native), NodeJS, Python, Pandas, Django, MonogDB, ElasticSearch , PowerBI, Pentaho PDI (Spoon), Pentaho Report. Show less

- Technical consultancy for the development of a remote water meter management system - Define the architecture of an intelligent system with a requirement for remote and distributed acquisition of a temporal data stream. Stack: JHipster, NodeJS/Express, ReactJS, TypeScript, Grafana, MQTT broker, Amazon MQ, LoRaWAN, M-Bus, IoWT, InfluxDB, Chronograf, Node-RED

Activities:e-Partnerships project to digitize the process of entering into and managing partnerships between public authorities and civil society. - Leadership and technical specification of the project - Architecture Specification - Elaboration of Data Modeling - Participation in the development of the Partner Registration, Selection and Execution modules - Development of integration micro-services (REST and SOAP) of the Payments moduleStack: MsProject… Show more Activities:e-Partnerships project to digitize the process of entering into and managing partnerships between public authorities and civil society. - Leadership and technical specification of the project - Architecture Specification - Elaboration of Data Modeling - Participation in the development of the Partner Registration, Selection and Execution modules - Development of integration micro-services (REST and SOAP) of the Payments moduleStack: MsProject, Trello, Java, J2EE, Seam and JSFe-Accounts project for virtualization of the annual accountability process:- Technical leadership, systems specification and development;- Data integration; data analysis; service implementation;- Application of agile methodologies; and team formation;- Creation of DW and accountability monitoring dashboardStack: JAVA, J2EE, Pentaho Server, Spoon PDI, Pentaho Workbench, Saiku Analytics,Pentaho Report, Tableau. Show less

Software engineerActivities:* Data Science Project to detect fraud in public government contracts;- Development of machine learning models for fraud detection with Regression Trees (CART, C4.5) and SVM- Collecting documents and extracting unstructured data with NLP- Elaboration of analytical reports.- Data Integration using Pentaho PDI- DW construction and integration with predicted modelsStack: Pentaho PDI, Cart, Python, SVM, Sckitlearn, SciPy, Numpy… Show more Software engineerActivities:* Data Science Project to detect fraud in public government contracts;- Development of machine learning models for fraud detection with Regression Trees (CART, C4.5) and SVM- Collecting documents and extracting unstructured data with NLP- Elaboration of analytical reports.- Data Integration using Pentaho PDI- DW construction and integration with predicted modelsStack: Pentaho PDI, Cart, Python, SVM, Sckitlearn, SciPy, Numpy, Pandas* Project e-Accounts for virtualization of the annual accountability process of government entities in the state of Ceará (Winner of the Green IT award for reducing the use of paper by 90% and digitizing the process;- Analysis and specification of the architecture of the e-Accounts system- Web client development- Development of text extraction module in natural language processing (NLP)- Specification and development of the Digital Signature module, token use, certificates and following ICP-BRASIL- Implementation of the module for storing, processing, distributing and sending documents in PDFs.- Maintenance and user training.Stack: Java , Seam, JSF, jax-ws, jax-rs, certisign sdk, hibernate, RichFaces, jasper reports Show less

- Web application development for document collection and storage- Extraction of structured data and attributes in documents- Research and Implementation of Wrapper and Filter models for attribute selection (Feature Selection and Feature Extraction) with optimization with Ant Colony and Genetic AlgorithmsStack: JAVA, J2EE, Adobe Flex, Python, Spring, JPA, Hibernate, Quartz, JasperReport | Tomcat Server and MySql Database | Matlab.- Web application development for collecting and… Show more - Web application development for document collection and storage- Extraction of structured data and attributes in documents- Research and Implementation of Wrapper and Filter models for attribute selection (Feature Selection and Feature Extraction) with optimization with Ant Colony and Genetic AlgorithmsStack: JAVA, J2EE, Adobe Flex, Python, Spring, JPA, Hibernate, Quartz, JasperReport | Tomcat Server and MySql Database | Matlab.- Web application development for collecting and storing documents - Extraction of structured data and attributes in documents - Research and Implementation of Wrapper and Filter models for attribute selection (Feature Selection and Feature Extraction) with optimization with Ant Colony and Algorithms Genetic Stack: JAVA, J2EE, Adobe Flex, Python, Spring, JPA, Hibernate, Quartz, JasperReport | Tomcat Server and MySql Database | Matlab.Skills: Document Processing · Feature Selection · Data mining · Java · Python Show less

- Development of ETL maps for integration of different data sources, cleaning and extraction of new attributes.- Implementation of machine learning models to predict annual tax collection.- Implementation of machine learning models for classifying cnaes and contributors.- Analytical reports on data and results- Application development in Java Web for the use of AI modelsStack: java J2EE, Javascript, JSF, JSP, Struts, Spring, Hibernate. Oracle Database. Adabas. Power… Show more - Development of ETL maps for integration of different data sources, cleaning and extraction of new attributes.- Implementation of machine learning models to predict annual tax collection.- Implementation of machine learning models for classifying cnaes and contributors.- Analytical reports on data and results- Application development in Java Web for the use of AI modelsStack: java J2EE, Javascript, JSF, JSP, Struts, Spring, Hibernate. Oracle Database. Adabas. Power Center Informatica (ETL / Monitor) - Development of ETL maps for integration of different data sources, cleaning and extraction of new attributes. - Implementation of machine learning models to predict annual tax collection. - Implementation of machine learning models for classifying cnaes and contributors. - Analytical reports on data and results - Application development in Java Web for the use of AI Stack models: java J2EE, Javascript, JSF, JSP, Struts, Spring, Hibernate. Oracle Database. Adabas. Power Center Informatica (ETL / Monitor) Show less