My Work at NAVBLUE!

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Project 1: Obstacle Data QA and Validation

Key Technology/Software Used: Python (Pandas, Mathplotlib), Excel, in-house NAVBLUE software, Calipers
Short/Long Term: Long term (January–April 2025)
Description: Captured and validated obstacle data for 140+ airports for integration into NAVBLUE’s global aviation obstacle database. Developed a Python script to automate comparison between manual and auto-captured data, reducing QA time by 30 hours weekly. Analyzed discrepancies to identify automation error patterns and collaborated with developers to improve future reliability.

Lessons Learned:

• How automation can enhance efficiency but still requires human-in-the-loop QA
• Importance of standardizing aviation data for global safety-critical systems
• Collaboration across teams improves both tooling and accuracy

Skills Demonstrated:

• Data validation and quality assurance in a safety-critical aviation context
• Problem-solving and exploratory analysis to trace discrepancies
• Cross-functional communication with developers to address systemic data quality issues

Project 2: Ground Truth Dataset of CDR NOTAMs

Key Technology/Software Used: Amazon Textract, AWS, Python
Short/Long Term: Short term (March 2025)
Description: Used Amazon Textract and AWS to extract Conditional Route NOTAM data from India’s Aeronautical Information Management portal. Cleaned, structured, and verified data for accuracy to meet a 90% conversion threshold required for downstream machine learning model training. The finalized dataset resolved a critical gap for a high-priority internal solution tied to a $500K customer.

Lessons Learned:

• Importance of preprocessing and quality thresholds in ML pipelines
• How regulatory aviation data is structured and interpreted for automation
• The value of internal tooling to bridge operational gaps under tight timelines

Skills Demonstrated:

• Python scripting and automation to extract and transform complex structured documents
• Attention to detail while validating data accuracy against source charts
• Initiative and ownership of a deliverable that directly impacted product readiness and customer retention

Project 3: Internal Aviation Insights Dashboard

Key Technology/Software Used: Google Sites

Short/Long Term: Long term (March–April 2025)

Description: Created a centralized dashboard to enhance team awareness by summarizing key aviation concepts, safety procedures, operational principles, and regulatory developments. Delivered clear, engaging content to support knowledge sharing and cross-functional understanding within the Obstacle Database team.

Lessons Learned:

• The impact of clear, concise communication on team alignment
• How operational and regulatory changes affect aviation data workflows
• How to identify credible sources for safety-critical domains

Skills Demonstrated:

• Information synthesis from multiple sources into digestible updates
• Written communication tailored to technical and non-technical audiences
• Initiative in building a resource that improved team context and decision-making

The postings on this site are my own and don't necessarily represent NAVBLUE's positions, strategies, or opinions.