I engineer data pipelines, design intelligence dashboards, and tell stories that move organizations from intuition to insight.
About
I'm a 2nd-year CS + AI student at Newton School of Technology with real-world internship depth in Business Intelligence and cloud data engineering. My work lives at the intersection of pipeline architecture, dashboard design, and business decision-making.
At Maverick Secure, I've shipped contractor KPI dashboards, optimized AWS S3 pipelines, and transformed manual Excel chaos into analytics-ready systems — cutting reporting time by 80% and processing latency by 60%. I don't just analyze data. I make it persuasive.
Experience
Projects
Analyzed 50,000+ AI chat records to identify toxicity patterns, prompt risk categories, and moderation blind spots — turning raw logs into a structured content intelligence dashboard.
Built a sales intelligence system from raw transaction data — tracking revenue trends, product performance, and order volume using pivot tables and automated reporting workflows.
Skills
From pipeline to presentation layer — a stack built for the full data journey, not just the analysis.
Contact
Open to BI, analytics, and data engineering roles. If you're building something data-powered and need someone who understands both the pipeline and the story — reach out.