Partner with cross-functional teams and clients to deliver scalable analytics and financial reporting solutions

Analyzed client data environments to identify critical datasets, reconcile complex data, and design scalable pipelines using Python, SQL, and AWS to improve data reliability

Lead client demos, technical enablement sessions, and project scoping workshops to ensure stakeholder alignment and solution success

Translate business needs into actionable technical solutions while balancing delivery speed and long-term maintainability

Conducted data-driven risk assessments and failure analyses on 20+ aircraft structural repair projects

Presented recommendations to senior leadership based on engineering and historical data insights

Championed adoption of modern data tools across engineering teams, leading hands-on training sessions and workshops

Led lab sessions and mentored 30+ engineering students in Python, C, and core data visualization principles

Created weekly lesson plans, guided hands-on coding demos, and provided support in technical writing and project development

Helped students strengthen their analytical thinking and communication skills through personalized feedback and instruction

Research fellow for the computational material science lab at the George Washington University. Performed simulations on molecular dynamics of clay swelling. Presented results at GW R&D showcase.