Owen Dinsmore

Undergraduate Data Science Student

Aspirirng machine learning engineer and fullstack software engineer. Currently a junior in data science at Boston University. Passionate about applying alternative data to solve complex problems, and visualize solutions.

Email: ocedinsmore@gmail.com
LinkedIn: linkedin.com/in/owen-dinsmore
GitHub: github.com/owendinsmore

Experience

Credit Analytics - Intern

Renaissance Reinsurance June 2024 – August 2024, June 2025 – August 2025

Built code to backfill AWS with credit data by connecting to an API. Conducted analytics on global credit rating trends. Returned for second internship to expand risk coverage and built vizualizations tools.

  • Automated visual generation for reports
  • Created visualization techniques for credit risk distribution analysis
  • Implemented database integrity checks ensuring data quality
  • Used Tableau, Excel, and SQL for data analysis

Quantitative Research - Senior Developer

Boston University Investment Club September 2023 - May 2025

Reproduced a Fama-French 3 factor financial model that predicts annual percent returns for the Standard and Poor's Index.

  • Led portfolio optimization group to help investment club redistribute portfolio risk
  • Developed quantitative models for investment decision-making

Researcher, Ambassador

MIT Stanford Inspirit AI August 2021 – January 2023

Researched natural language processing's ability to predict trends in market sectors, utilizing Twitter data to make informed decisions on whether a sector was improving based on sentiment.

  • Advised by Stanford & MIT graduate students, presented findings to peers
  • Built strong understanding of machine learning and data structures
  • Invited to participate as an ambassador for Inspirit

President, Founder

Appleby College Competitive VEX Robotics October 2019 - June 2023

Encouraged the formation of, and obtained the approval & funding for the VEX Robotics program. Managed deadlines, oversaw construction of all subsystems, design, and code.

  • Prepared team for 11 competitions including 1 provincial
  • Team improved from Non-Competitive to #2 High School in Ontario from 2019-2023
  • Motivated and fostered curiosity & teamwork among participants

Education

Bachelor of Science in Data Science

Boston University Expected May 2027

Candidate for Bachelor of Science Degree in Data Science - Dean's List

Activities: Investment Club, Men's Rugby
Relevant Classes: Algorithms for Data Science, Data Mechanics, Linear Algebra, Calculus, Statistics, Machine Learning, UI/UX Design

High School Diploma with Distinction in Global Leadership

Appleby College June 2023

Graduated with Honors from Appleby College in Oakville, Canada.

Projects

Fama-French 3 Factor Model

Reproduced financial model that predicts annual percent returns for the S&P 500 Index using quantitative analysis.

Python Financial Modeling Statistical Analysis

Market Sentiment Analysis

Natural language processing project utilizing Twitter data to predict market sector trends based on sentiment analysis.

Python NLP Machine Learning Twitter API

Multi-Factor Regime Detection (MFRD)

Python-based trading system that detects market regimes (bullish, bearish, neutral) using Hidden Markov Models and applies appropriate trading strategies for each regime.

Python HMM Trading Strategies Backtesting

Loan Default Prediction in Rust

Built logistic regression model from scratch using only ndarray in Rust to predict loan defaults based on HMEQ mortgage data. Achieved 70-80% accuracy.

Rust Logistic Regression ndarray Machine Learning

Industry-to-Vec

Vectorizing NAICS industry codes to compare similar industries using Python. Built comprehensive utility functions for embedding generation using GloVe.

Python NLP GloVe Embeddings NAICS

Geospatial Data Mapping

Interactive geospatial data visualization system built with Three.js for rendering complex geographic datasets in 3D space with real-time interaction capabilities.

Three.js JavaScript HTML CSS

Virtual Server Infrastructure

Created and deployed stable remote Linux server for compute and storage, integrating PostgreSQL databases, Redis for caching and queue management, and RESTful API endpoints.

Linux PostgreSQL Redis APIs

Ridgeplot Package

Built Python package extending matplotlib to create ridge plots for visualizing ordered qualitative data distributions. Provides intuitive interface for publication-ready visualizations.

Python Matplotlib Data Visualization PyPi Package Development

Skills & Interests

Technical Skills

Programming Languages

Python Rust SQL Java C++ C#

Data & Analytics

Machine Learning Algorithms Tableau Excel Pandas Scikit-Learn

Cloud & Tools

AWS Suite Microsoft Office

Interests & Awards

Professional Interests

AI & Machine Learning Risk Modeling Alternative Data Financial Modeling

Personal Interests

Rugby Scuba Diving Strength Training Travel Investing Computer Hardware

Awards & Recognition

Duke of Edinburgh Bronze Engineering & Robotics Leadership Global Leadership Distinction