Hi, I’m
Matt Liddy.
Software Developer + Data Scientist
About Me
I am a Software Developer based out of Dallas, TX and currently working for Epsilon. I recently graduated with a Bachelor of Science Degree in Computer Science from Texas Christian University in Fort Worth, Texas. I have hands-on experience in web & mobile app development, information security / system administration, and data science with an emphasis in machine learning. I am a very outgoing person and enjoy working in a productive team atmosphere focused on success. As a hobby, I am also an avid runner and compete in races and triathlons.
Undergrad Research
Skin Cancer Image Classification with Parallelized Deep Artificial Neural Network
We created an Artificial Neural Network from the ground up using C++ and trained it on images of skin cancer to classify as malignant or benign.
Experience
Software Developer 2
Dallas, TX
Developed C# .NET Web Application to drive employee engagement for Fortune 500 Client
Constructed data pipelines on Adobe Campaign Platform to enable campaign orchestration
Implemented parallelization utilizing OracleSQL and JavaScript to integrate live geofence events
Created custom API to trigger personalized transactional multichannel messages in real-time
Collaborated with global development team to maximize development output and quality
Machine Learning Intern
London, UK
Created complex queries to gather data from PostgreSQL Database
Cleaned, scaled, and prepared user data for vector use
Applied Natural Language Processing Model to parse user reviews
Utilized KNN Algorithm to develop a recommendation engine for app users
Cybersecurity Intern
Franklin Lakes, NJ
Analyzed log files for unauthorized access to network and escalated control issues
Developed PowerShell scripts to detect, block, and report unauthorized access
Collaborated in an agile environment to develop, document, and deploy security scripts
Web Development & IT Intern
Avon, NJ
Wrote and debugged server/client-side code for company website
Reviewed Google Analytics Data and strategized ways to optimize SEO
Located, diagnosed, and fixed website problems, including broken links, typographical errors, and formatting inconsistencies
Capstone Project
AP Analytica
Developing Analytics Web App for the client to detect Access Point (AP) errors on a network of 3200+ APs
Creating system to collect data from Cisco Prime API, analyze and store results in MySQL DB
Utilizing the anomaly detection algorithm LOF to label malfunctioning APs
