Hi, I'm John πŸ‘‹
Ancient Historian 𒇽𒂍𒁾𒁀𒀀 and Burgeoning Data Scientist πŸ“Š β€” passionate about uncovering patterns, whether in ancient texts or modern datasets.
JM

About

At the end of 2022, I took a step away from academia to pursue independent study in computer science with a focus on data science and analytics. Since then, I’ve completed a range of projects, consulted on data-driven applications and systems, and continued contributing to research publications. Now, I am eager to apply my interdisciplinary background to new challenges in data and technology!

Work Experience

P

Pirate Transport LLC

June 2025 - Present
Software Engineer
Building a cross-platform React Native app to manage drivers, dispatch jobs, and streamline trucking operations. Designing a full admin infrastructure with real-time access to driver profiles, documents, and dispatch status.Implementing order-driver matching functionality using TF-IDF vectorization and cosine similarity. Developing a Flask backend API with Firebase Firestore for user data and AWS S3 for document storage.
B

Booth School of Business

August 2022 - Present
Academic and Research Specialist
Developing a text mining function in Python to extract and efficiently scrape over 6 million entries in ProQuest database for faculty research. Supports a group of 8 faculty with research, academic, and administrative tasks.
T

The University of Nottingham

March 2024 - May 2025
Research Consultant
Curated list of 100+ economic and political terms in Stata to filter for relevant cuneiform texts on the CDLI (Cuneiform Digital Library Initiative) database. Extracted and cleaned a database of over 360,000 records to be analyzed with Python. Provided regular progress updates and expert opinion to the principal investigator. Cited and acknowledged in the final publication β€œThe Economic Origins of Government”.

Education

U

University of Oxford

2021 - 2022
Master of Studies (Assyriology)
U

University of Chicago

2017 - 2021
Master of Arts (Assyriology)
S

St. Olaf College

2015 - 2017
Bachelor of Arts (Classics)

Skills

Python
Keras
Tensorflow
scikit-learn
R
React
Next.js
Typescript
Node.js
Postgres
Docker
Java
HTML
My Projects

Check out my latest work

I've worked on a variety of projects, from predictive modeling to complex web applications. Here are a few of my favorites.

Movie Recommendation System

Developed a movie recommendation system using cosine-similarity scoring to recommend relevant movies, scraped from rotten tomatoes, based on content similarity to your favorites.

Python
Node.js
Docker
S3
CSS
HTML
AWS S3
Website
Source
Dynamic Assistant for Auction Fantasy Football (DAFAFAF)

Dynamic Assistant for Auction Fantasy Football (DAFAFAF)

Designing a dynamic auction assistant for fantasy football drafts using Gemini LLM. Built an agentic workflow that recommends players based on calculated VBD, real-time news (via web scraping), and retrieval-augmented generation (RAG) for context-aware suggestions.

Python
Shiny
PostgreSQL
Gemini

Gaming and Anxiety Model

Encoded and built a predictive classification modal for data on gaming and anxiety with respect to League of Legends.

Python
sklearn
pandas
numpy
matplotlib
Source
Contact

Get in Touch

Want to chat? Just shoot me a message on linkedin or send me an email and I will get back to you when I can!

LinkedIn