Hi, I'm Jordan
You can find some of my projects listed here. I'm interested in discovering subtle insights in data and applying them to real-world problems.
Purpose
To develop and benchmark data science solutions for real-world problems.
Solution
Built ensemble model with unsupervised feature discovery for heart disease prediction. Competing in the Deep Past Challenge for the translation of ancient Akkadian trade documents.
Tools
Impact
Top 6% in heart disease prediction (0.9553 AUC).
Purpose
To provide bus riders with 24/7 customer service that is easily accessible and real-time, across multiple languages.
Solution
Built AskLynchburg - a bilingual assistant that gives real-time bus times, nearby restaurants, and answers questions using real-time GTFS data integration and natural language processing.
Tools
Impact
Acquired by Systrans (EQUANS), scaled from local to international deployment
Purpose
Train reinforcement learning agents to make autonomously optimized decisions in simulated environments.
Solution
Implemented 12+ RL algorithms including Deep Q-Networks, Proximal Policy Optimization, Actor-Critic methods, and policy gradient with custom neural network architectures and reward optimization.
Tools
Impact
Top 1% on Huggingface for the LunarLander-v2 project
Purpose
To provide GLTC with an efficient method of addressing common customer service questions/requests during peak business hours.
Solution
Built AskGLTC - a chatbot that answers rider questions, sends SMS updates, responds via SMS, and integrates with GLTC's WordPress site.
Tools
Impact
Served 300+ riders daily, recognized by the Virginia DRPT, won $5,000 APTF scholarship
Skills
Python
Primary language for ML, data pipelines, and web development. Used across most projects from NLP chatbots to reinforcement learning agents.
PyTorch
Deep learning framework for NLP and neural network development. Used to build the intent classification models behind AskGLTC and AskLynchburg.
TensorFlow
Framework for training reinforcement learning agents. Achieved top 1% on the HuggingFace Lunar Lander benchmark out of 7,000 submissions.
AWS
Cloud infrastructure for production deployments. Deployed and monitored AWS resources supporting real-time transit systems for 11+ agencies nationwide.
SQL
Database querying and management. Used for structuring and retrieving data across transit and geospatial data pipelines.
ArcGIS Pro
Spatial analysis and geospatial data processing. Used to integrate GTFS route data for transit agencies across the U.S.
Nov 2022
Data Analyst internship: built ML-powered customer service solution.
Jan 2023
Deployed production NLP model on AWS, serving 300+ daily users.
Aug 2023
Awarded $5,000 APTA scholarship for transit technology innovation.
Oct 2024
Graduated B.S. Information Systems, 3.87 GPA, Summa Cum Laude.
Present
Pursuing M.S. in GIS with a focus on cartography and remote sensing.