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Amplify Mentorship Event: Keiser University
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​About Reed

Hi, my name is Reed.

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I build, secure, and support technology systems by combining infrastructure, networking, security, automation, and analytical problem-solving to solve real-world technical challenges.

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I hold a Bachelor's degree in Information Technology from Virginia Tech and a Master's degree in Industrial & Organizational Psychology. My background combines hands-on technology experience with analytical thinking, allowing me to approach technical systems through both practical troubleshooting and data-informed decision-making.

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My professional experience spans data analytics, behavioral analysis, and hardware/infrastructure environments. In data-focused work, I have worked with data collection, validation, analysis, visualization, and reporting to identify trends and support decision-making. My behavioral science background has involved measurement, research, assessment, and understanding how people interact with systems and processes. In infrastructure and technical environments, I have worked hands-on with network-connected hardware, security systems, troubleshooting, system deployment, and technical support.

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My work and projects continue to expand across several areas:

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Infrastructure & Security – Deploying, configuring, troubleshooting, and administering network-connected systems, Linux environments, virtualization, networking labs, and enterprise security infrastructure, while continuing to develop deeper skills in systems administration and vulnerability management.

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Automation & Technical Solutions – Designing workflows, developing Python-based automation, integrating platforms, and implementing technical solutions that reduce manual effort and improve operational efficiency.

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Data & Analytics – Collecting, cleaning, validating, and analyzing structured and unstructured data to identify trends, support decision-making, and communicate meaningful insights through reporting and visualization.

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Systems Thinking & Human Factors – Applying analytical problem-solving and an understanding of human behavior to improve workflows, operational processes, and technology adoption within complex organizations.

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I enjoy working at the intersection of technology, operations, data, and people. Whether supporting infrastructure, troubleshooting technical systems, building automation tools, or analyzing data, my goal is the same: understand complex systems, improve how they operate, and solve meaningful technical problems.

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This portfolio showcases that work through projects across infrastructure, security, networking, automation, analytics, and technical consulting.

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Personal Projects

Virtualized File Server

Linux Remote Development Environment

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Case Studies

​Academic Insight Chatbot

Built and deployed a chatbot that connects to a custom academic article database, allowing users to summarize, compare, and extract insights using AI and Natural Language Processing. Tools Used: Python, Flask, Azure AI Text Analytics, Azure SQL Database, SpaCy, Heroku, GitHub

Security Assessment & Analytics Lab

A hands-on security assessment lab combining controlled security testing, system monitoring, and analytics. Used Python for automated data collection, SSH security testing, and Power BI dashboards to analyze findings. Tools Used: Python, Hydra, Power BI, JSON, SSH, GitHub

Mock Facial Recognition Security System

A gesture-controlled, AI-powered home security system combining facial recognition and hand gesture detection. Built in Python with MediaPipe and OpenCV, containerized in Docker, and synced to a private NextCloud server for secure video storage. Tools Used: Python, MediaPipe, OpenCV, dlib, Docker, NextCloud, Linux

Sentiment Analysis Case Study

A sentiment analysis project exploring how news headlines influence public discourse on Reddit. Built with Python using APIs from NewsAPI and Reddit, the system applies NLP techniques (TextBlob, and custom preprocessing) to detect sentiment shifts, and lag effects. Data is processed and visualized in R and Tableau, with automation scripts scheduled to pull and analyze fresh data.

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