Thiago Alvares
Business Systems Analyst Iv @General Atomics Aeronautical Systems
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WORK HISTORY
Business Systems Analyst Iv @General Atomics Aeronautical Systems
San Diego, CA, US
Designed, developed, and currently manages a portfolio of complex, enterprise-grade analytics dashboards in Microsoft Power BI, enabling data-driven decision-making across business units.Architected and implemented automated data workflows using Power Automate, delivering advanced reporting solutions and real-time, event-driven user notifications.Serve as the senior technical escalation point, resolving complex data, reporting, and system integration challenges while driving adoption of modern data technologies.Act as the Lead AI resource, playing a key role in the end-to-end implementation of a Retrieval-Augmented Generation (RAG) solution—from initial architecture through production deployment.Partner with executive leadership and cross-functional stakeholders to identify, prioritize, and deliver high-impact AI and data initiatives, aligning technology solutions with business value.Technology Stack:Programming & Data: Python (NumPy, Pandas, Scikit-learn), PySparkMachine Learning & AI: TensorFlow, PyTorch, Transformers (BERT), XGBoost, LightGBMAI/LLM Engineering: LangChain, OpenAI API, RAG architecturesData & Cloud Platforms: Microsoft Power BI, Power Automate, Azure Synapse, Azure Machine Learning
EDUCATION
San Diego State University
Bachelor of Business Administration (B.B.A.), Management of Information Systems
San Diego Mesa College
Transfer Studies, Business Administration and Management, General
University of San Diego
Master of Science In Applied Artificial Intelligence - MS-AAI, Artificial Intelligence
SKILLS
ABOUT THIAGO ALVARES
I am an analytics and technology professional with 18 years of experience leading data, automation, and business systems initiatives in complex enterprise environments for the aviation industry. My work has focused on improving decision-making through analytics, process improvement, and cross-functional collaboration between business and technical teams.In my current role, I contribute to AI and data strategy efforts by helping identify practical enterprise use cases, supporting AI-focused initiatives, and connecting leadership priorities with implementation opportunities. I am also pursuing a Master’s in Applied Artificial Intelligence to deepen my expertise in machine learning, AI systems, and applied engineering.My background includes programming, software, data analytics, automation, and finance systems, with a growing focus on AI-enabled transformation. I am especially interested in opportunities at the intersection of AI, data strategy, finance, and intelligent automation.
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