AI, Data & Industrial Operations
Turning complex industrial data into operational decisions

I work at the intersection of AI, Data, and Industrial Operations.

My focus is on applying data engineering, analytics, and AI to solve real-world operational problems, especially in Oil & Gas and industrial environments.

I’m particularly interested in:

• Industrial DataOps
• LLMs for document understanding and automation
• AI-driven validation workflows
• Decision support systems for operations

• Build data pipelines and analytical systems for operational decision-making
• Apply LLMs and AI to automate document analysis and validation workflows
• Structure and extract insights from unstructured industrial data
• Develop data-driven solutions for risk identification and process optimization

Languages
Python | R | SQL

Data & Cloud
Databricks | Snowflake | Azure | AWS | Data Lakes

AI & Analytics
LLMs | RAG | NLP | Industrial DataOps

BI / Analytics Tools
Power BI | Spotfire | Tableau | SAP

• Automated extraction and structuring of technical PDF data
• Built validation logic for operational compliance
• Identified inconsistencies and data quality issues

• Structured unorganized operational text data
• Extracted actionable insights from human-written reports
• Automated classification workflows

• Built analytical bases and pipelines for operational monitoring
• Supported process visibility, traceability, and risk analysis

• Expert consultations
• Industrial AI projects
• Data & AI strategy discussions
• Collaboration on operational analytics and automation

• LinkedIn: linkedin.com/in/raissaalvimt
• Email: raissaalvimt@gmail.com