Matthew David Scott
Technical Project Manager | Engineering Lead & Business Analyst
A hybrid professional blending 9 years of Senior Business Analyst expertise with proven capabilities in modern software architecture, delivering high-impact solutions that bridge business needs and technical execution.
Key Career Achievements
Highlighting proven impact in efficiency, quality, and technical leadership.
Overhead Reduction via Automation (%)
Years of Experience at Fortune 50 Company
Critical Defects on Major Enterprise Projects
Interactive Career Journey
An overview of my professional evolution. Click each title to expand.
Technical Project Lead & Developer
Personal Projects
2024 - Present
Senior Risk Management Professional II, Business Analyst
Humana Inc.
2016 - 2025
Account Executive & Rich Content Developer
Mightily
2012 - 2016
Technical Skills Explorer
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Project Showcase
A selection of recent work demonstrating key capabilities.
Job Search Automation Platform
Python/FastAPI/React
An end-to-end system designed to streamline and optimize the job application process, significantly reducing manual effort and improving response rates through intelligent automation.
- Architected a full-stack platform reducing manual application time by 69% (from 65 to 20 minutes).
- Implemented 39 async REST API endpoints handling 1000+ daily operations with sub-100ms response times.
- Developed a Gmail API integration with an AI-powered classification engine (95% accuracy).
- Designed an ATS optimization engine improving response rates by 3-5x using NLP keyword extraction.
Personal Journey Flow PWA
React/TypeScript/Supabase
A production Progressive Web App with offline capabilities, real-time data synchronization, and a highly performant, responsive user interface for an enhanced user experience.
- Spearheaded front-end architecture, ensuring service workers delivered full offline capabilities.
- Implemented real-time data synchronization using Supabase with optimistic UI updates.
- Built responsive animations using Framer Motion, achieving a 98 Lighthouse performance score.
This project highlights architectural design and user experience principles.
Security Phishing Detector
Python/ML
A defensive security tool that analyzes email patterns to detect and flag potential phishing attempts, designed for enterprise deployment with real-time classification.
- Implemented machine learning models achieving 92% detection accuracy on a dataset of 10,000+ emails.
- Designed core logic for real-time classification to mitigate enterprise security risks.
- Utilized NLP libraries for robust pattern recognition and threat analysis.
This project highlights architectural design and user experience principles.
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