Kevin Hitt

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Currently available for new projects. Last updated .

Recent Work

Raspberry Pi Server
A self-hosted Raspberry Pi 5 home cloud environment combining media archiving, optional streaming, personal file sync, and web hosting, all secured behind a Cloudflare Tunnel with reverse proxy, backups, and monitoring.
Raspberry Pi OS Lite • CloudFlare Tunnel • Python • JS • DNS • cron jobs
Aug 2025
Community Radio Scraper
Recovering community radio recordings from an exposed file system.
Google Cloud • Python • Internet Archive • .txt • .csv
Jun 2025
Badged Background Image Generator
Adding Pearson Credly digital badge images to backgrounds for online meetings.
Pearson Credly API • Adobe Illustrator • Python
Mar 2025
Data Warehousing FRED
Using a star schema design to simplify and accelerate data retrieval for complex queries. Consolidating data from the U.S. Bureau of Economic Analysis and Federal Reserve Economic Data, streamlining numerous tables into key categories like CPI and unemployment rates.
SQL • ETL • Dimensional modeling
Jun 2023
Predicting Medical ICD-10 Codes
Predicting future medical ICD-10 diagnosis codes based on patient visit sequences. It utilized GRU-based sequence-to-sequence and BERT models to generate and predict these codes. While demonstrating potential, further development is required for real-world healthcare implementation.
seq2seq • NLP • BERT • Predictive modeling • Pytorch
Nov 2023
Occupation Taxonomy Explorer
Interactive widget to explore occupation taxonomy and subsequent skill matches to USF offerings. https://github.com/kevinhitt/occupation-widget
API • Taxonomy • HTML • CSS • JS
Jun 2025
Predicting Risk in Car Insurance
Building a binary classification model to predict high car insurance risk based on car attributes. Using eight machine learning models, feature importance aggregation, and hyperparameter tuning, the Random Forest model emerged as the best performer in minimizing false negatives. The results support more individualized insurance pricing, helping insurers reduce losses and retain customers.
Risk assessment • Predictive modeling • Hyperparameter tuning • Feature importance analysis • Binary classification • model comparison • Random Forest • decision trees • Ensemble methods • Neural networks • GridSearchCV • RandomSearchCV • Data imputation • Recall optimization • ROC AUC evaluation
Nov 2023
Association Rules of Airbnb NYC Data
Analyzing a dataset of New York City Airbnb listings to interactively explore how different features of the rental properties affected price. Using a Shiny app for interactive association rule mining, the analysis aimed to uncover which factors — such as location, listing descriptions, or host behavior — most strongly correlate with price differences.
interactivity • association rule mining • market data analysis • pricing strategy • Shiny app development • exploratory data analysis • confidence and support tuning • rule-based modeling
Apr 2020
Daily Webpage QC Check
Automated daily link checks on the USF Microcredentials 'Programs' webpage to proactively ensure all registration links are functional. Python script runs daily to extract the relevant <a> tags based on the specific CSS class 'snippetImageGrid_item', checks HTTP status, and sends CSV of results via email.
Python • BeautifulSoup • cron • cronjob • Quality Control
Jun 2025
Calendar HTML Convertor
https://recalling.info/cal.html
June 2025
Streaming Video Scraper
For streaming videos (HLS, HTTP Live Streaming Protocol) that lack an easily accessible file source for download, uses FFmpeg to reassemble individual .mp4 segments from HLS stream into a single, complete video file.
FFmpeg • CLI • HTTP
July 2025

Skills

Workforce Credentialing Strategy
Architecting digital badge systems that align university programs with employer needs and industry-recognized skills
Data-Driven Automation and Insight
Building Python-powered workflows to automate processes, extract insights, and monitor career outcomes at scale
Cross-Functional Leadership in Education Innovation
Leading new service models across academic units with budget control, intake systems, and stakeholder alignment
Revenue Modeling and Performance Optimization
Forecasted revenue, built tiered pricing scenarios, and performed root cause analysis to drive >200% increase in paid enrollments
Data Automation and Skill Analytics
Automated Python-SQL pipelines, built labor market-aligned taxonomies, and applied NLP clustering for curriculum strategy
Strategic Reporting and Institutional Communication
Delivered Power BI dashboards and executive presentations to influence microcredential policy and resource allocation

Experience

Assistant Director, Office of Microcredentials & Non-Credit Course Support
Led revenue forecasting, automated data analysis using Python and SQL, and delivered insights on microcredential performance and labor market alignment. Presented outcomes to university leadership to shape policy and drive adoption.
2023 – Present
Enrollment Management Assistant
Managed non-credit enrollment and point-of-sale systems. Served as system administrator for Canvas and Zoom across all non-credit education programs.
2014 – 2023
Student Research Assistant
Collected and consolidated motorcycle safety data for the Florida Department of Transportation at a research center specializing in urban transportation.
Summer 2015
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