Thuan Tavares

- Transitioned SEK into a data-driven organization by building a scalable analytics infrastructure from scratch. - Developed EASM reporting solutions using LLMs, Deep Learning, Fine-Tuning, and RAG with vector databases (OpenSearch) and graph structures (Neptune). - Integrated private data into a RAG agent system, combining multiple NLP architectures and functions to build collaborative, internal knowledge bases. - Designed and deployed a multi-agent system (Feeds AI) using AWS Bedrock and OpenSearch, supporting the sales team with insights and tailored reports during client meetings. - Built and managed a production-grade AWS Data Lake (Raw, Silver, Gold) supporting 8 integrated products. - Implemented S3 lifecycle policies and robust data governance to enhance disaster recovery and data management. - Managed orchestration frameworks using Airflow (MWAA), Step Functions, AWS Glue, Lambda, and SNS. - Lake Formation with LF-Tags for efficient data governance and secure management of data access. - Developed REST APIs for efficient data access and querying via Athena - Maintained and enhanced Infrastructure as Code (IaC) repositories - Promoted a scalable, reliable, and data-driven culture to improve decision-making and efficiency.

• Time Series Forecast Modeling • Big Data Management • Supervised and Unsupervised Machine Learning • Program Management • BI and Data Visualization • SQL Proficiency Main projects: • Developed and integrated Machine Learning technique for forecasting models from SageMaker into QuickSight for Brazil, Mexico, and Japan, automating processes and improving accuracy from 40% to <5%. Applied across 30,000+ sellers, this saved operational costs in transportation and planning. • Led annual and 3-year projections for Brazil and Mexico's largest retail programs, using complex SQL queries to create reports and dashboards that provided actionable insights. Automated data processes, enhancing decision-making and profitability. Regularly communicated results to leadership and collaborated with finance to align on goals. • Developed unsupervised models (clustering) to segment new customers and used analytical correlation to identify relationships between variables, analyzing retention rates for each customer group within a program. Conducted linear regression to determine the optimal impact point for other initiatives. • Responsible for constructing queries and generating reports on a weekly, monthly, and quarterly basis to provide business stakeholders with actionable information. Created multiples Dashboard that serves as a valuable tool for data acquisition and verification. Projects focused on improving efficiency, leveraging data-driven solutions, and implementing automation procedures

• Automated Data Processes: Automated the data acquisition and validation process for forecasting and operational planning, reducing weekly forecast processing time from 3 hours to 5 minutes. • Cross-Country Program Analysis: Built custom Quicksight dashboards for Brazil and Mexico to track KPIs at a granular level (ASIN, MCID, daily metrics), improving leadership insights and supporting WBR/MBR/QBR sessions. • Algorithm Development: Created machine learning algorithms and models to mine big data for trend detection and anomaly identification, improving model accuracy and actionable insights for stakeholders. • AMZL Expansion Analysis: Developed a mechanism to identify optimal locations for AMZL's expansion, increasing AMZL's in Mexico over 6 months. • Quicksight and BI Tools: Created fully automated Quicksight dashboards for LATAM that were accessed by multiple teams, enabling daily data refreshes and reducing manual queries, saving up to 5 hours per week for individual team members. • Operational System Improvement: Implemented data and system improvements based on insights from large-scale data analysis, improving overall program efficiency and reducing errors across multiple processes.

• AWS Ground Station Chile: Validated power facility satellite systems by mapping incorrect signals, alarms, and notifications to support automation planning. • Event Analysis Optimization: Streamlined event analysis processes, reducing analysis time by over 90% and improving error detection and data tracking across systems. • POC for AWS Facility in Brazil: Led demand analysis and optimized team allocation, improving processes and enhancing the visualization of potential problem areas through better data tracking. • Database Auditing Automation: Automated database auditing for facility inventory topology, reducing work time by 92% and achieving a 0% error rate in database conformity across all Brazilian AWS data centers. • Data-Driven Operational Insights: Improved overall operations through demand analysis and data-driven insights, optimizing team allocation and problem resolution. • Process Optimization: Introduced automation in inventory management and control systems, significantly enhancing data accuracy and operational efficiency. • Machine Learning for Operations: Applied machine learning techniques to identify and predict facility-level issues, contributing to better resource allocation and operational stability.

• Worked as an Automation Engineer, designing PLC control logic, mapping signals to an Oracle SQL database, created complex Excel VBAs for automated signal and logic generation in Siemens PLCs. • Database Management: Managed and configured databases for automation systems, optimizing data flow and ensuring operational accuracy. • Automation and PLC Logic Development: Designed and implemented automation logic for hydropower plants (HPP), including signal mapping and programming for SCADA systems. • Commissioning of Hydropower Plants: Led the commissioning of automation and protection systems at HPP Ibitinga and HPP Barra Grande, ensuring successful deployment and system validation. • Project Management and Risk Analysis: Conducted risk analysis and applied critical thinking to deliver creative solutions for complex control and automation systems in projects like HPP Campos Novos. • Field Service Engineering: Provided technical support and field engineering services, ensuring seamless integration of automation solutions on-site. • Networking and Infrastructure: Developed and deployed network solutions (switches, routers) for hydropower facilities, enhancing communication and control systems. Key Projects: • Automation Engineering – HPP Campos Novos (FEB 2020 – MAR 2021): Conducted project risk analysis and developed automation solutions covering all aspects of Control and Automation Engineering. • Commissioning – HPP Ibitinga (APR 2020): Commissioned the Overspeed Protection System, ensuring compliance with safety standards. • Automation Engineering – HPP Barra Grande (AUG 2019): commissioning of the full automation system, ensuring operational readiness and stability.

-Cloud Computing  -Modeling -Deep Learning -Data Security and Cyber Security -Machine Learning -Artificial Intelligence  -Data Engineering  -IoT -Web Crawling -Data Architecture -Big Data -Data Mining