Wesley de Souza

Leads innovation and new business initiatives focused on scalability and value creation. - Conducted market research and validated MVPs for new data-driven products. - Developed technical, commercial, and financial feasibility studies for internal startups. - Acted as mentor and strategic advisor for digital transformation and data analytics initiatives. - Bridged communication between technical and executive teams to ensure alignment between strategy and delivery.

With a focus on defining, developing and implementing effective programs in the process of accelerating and evolving our customers, using artificial and business intelligence. My duties are: planning, drawing, developing content, identifying risks / problems and monitoring the development of squads. It also promotes data analysis with the application of machine learning techniques (Decision Trees and Neural Networks and other associated techniques). In addition, benchmarking and research of new technologies and features that contribute to the evolution of the internal services of virtual assistants, data analysis tools and artificial intelligence.

⚖️ Council National of Justice (CNJ) Acting as a Data Specialist responsible for developing and maintaining analytical and strategic Qlik-based data solutions to support the digital transformation and data governance of Brazil’s Judiciary System under the National Council of Justice (CNJ). Main responsibilities and achievements: 📊 Developed Qlik Sense and QlikView dashboards for institutional and operational performance monitoring. ⚙️ Designed and optimized data models (QVD layers) and ETL scripts, ensuring performance and consistency across data sources. 🔄 Integrated data from judicial and administrative systems using Qlik Replicate, SQL Server, and Talend Data Integration. 🧭 Established standards for governance, version control, and data security in corporate Qlik environments. 🧩 Provided technical guidance to internal teams and partner courts in dashboard use, automations, and reporting. ☁️ Supported the modernization of CNJ’s data architecture, emphasizing scalability, automation, and interoperability. Key Achievements: ✅ Reduced dashboard refresh time by 60% through process automation. ✅ Implemented standardized ETL pipelines across judicial departments. ✅ Enhanced data-driven decision-making for strategic planning and operational governance.

Responsible for designing and delivering strategic Data Analytics, Data Science, and Data Engineering solutions, focusing on integration between legacy and modern systems. - Designed and implemented Qlik Sense dashboards with performance KPIs and automated analytics workflows. - Built real-time data ingestion pipelines using Talend Data Integration and Qlik Replicate (CDC). - Optimized large-scale ETL processes with Informatica PowerCenter, ensuring data quality and governance. - Contributed to hybrid and cloud analytics modernization initiatives, enhancing scalability and data security.

Assigned to the following departments: SANEAGO - Designed analytical data models and ETL pipelines to support operational and management indicators. - Automated reporting workflows, reducing delivery time by up to 40%. - Optimized SQL queries and processing routines to enhance dashboard performance. - Built KPIs and executive dashboards enabling data-driven decision-making across departments.

Assigned to the following department: DETRAN-GO - Analyzed analytical databases to develop operational controls and management dashboards. - Implemented ETL packages to automate recurring data processes and eliminate manual tasks. - Improved query performance by 30% through SQL tuning and optimized data modeling. - Provided BI technical support to internal teams, ensuring information quality and reliability.

Assigned to the following departments: SEDUCE and SES - Conducted data requirement analysis and built performance management indicators. - Designed ETL pipelines for new analytical workflows. - Performed SQL query tuning, reducing data processing time by up to 35%. - Delivered Qlik and Power BI dashboards that enhanced operational visibility and performance tracking.

Management of data intelligence team, and specialist in data integration for technology area.

Focus on defining, developing, and implementing effective programs in the acceleration and evolution process of our clients, using artificial and business intelligence. My attributions are: plans, designs, content development, identifing risks/problems, and monitoring squad development. Also promoting data analysis with the application of machine learning techniques (Decision Trees and Neural Networks and other associated techniques). As well as, benchmarking and research of new technologies and functionalities that contribute to the evolution of virtual assistants internal services, data analysis tools, and artificial intelligence.

SAP Business One Pre Sales being the main activities: Demonstration workshops of the ERP system, survey of required requirements and proposal proposals related to the best solution with cost and benefit showing customers the added value.

Survey and study of analytical bases for the creation of new operational controls and management indicators. Construction of ETL packages for implementation of new routines, tuning of queries for optimization of performance of queries and processes, creation of KPIs for monitoring of performance / processes and attendance of internal areas of the company.

Understand the different structures of databases, Relate data engineering, analytics and machine learning; Develop skills for data manipulation, data wrangling and data visualization; Understand the reasons for the estimation of each of the machine learning models; Develop web crawlers and implement webscraping and deep learning algorithms; Understand and use data for geospatial analysis; Develop business intelligence and data visualization projects, as well as build dashboards; Implement operational research techniques from optimization models; and simulation; Present a critical and strategic view on information technology, artificial intelligence, big data and data mining projects; Establish analytics strategies for decision models and risk management; Discuss cloud computing and cyber security; Discuss LGPD (General Data Protection Law)