Scouting report
Quant-ML student modeling financial regimes in Python
assessed from open-source footprint
Owen is a Boston University data-science undergrad with a clear quant-finance specialty: MFRD does multi-factor market-regime detection, and a Sentiment Analysis project trains on live Reddit investing data to predict trends. Across 12 repos he also reaches into Rust, showing range, though with 3 total stars, no deployments and a 0.33 abandoned ratio the work is still academic. A strong fit for risk/finance ML roles that can mentor an early-career engineer.
Authorship & open source
What they build
Industry experience
- Web & CMS
- Climate & Sustainability
- Gaming
Signal breakdown
3
top repo 1
12
0% forks
0
5.4 yr
0
Active
33% stale
Strengths
- Verified author — wrote 100% of commits on riskplot
- Original builder — 12 of their own repositories
- Consistently active, low abandonment
- Backend focus with Data / ML
- Domain experience in Web & CMS & Climate & Sustainability
- Core stack: Python, JavaScript, Rust, Jupyter
About
Skills
- Python
- JavaScript
- Rust
- Jupyter
Featured work
MFRD
multi-factor regime (state) detection
- Python
by Owen Dinsmore
Sentiment Analysis
Use reddit's API to generate live data, from investing and news subreddits, from which to train off of to predict future trends.
- Jupyter
by Owen Dinsmore
Weather Model
Building up a weather model with Py, OpenCV, SQL
- Code
by Owen Dinsmore
3D FPS Game
A compilation of code from a 3D FPS (first person shooter) game I made using unity's 3D engine.
- Code
by Owen Dinsmore
OOP PlaylistCreation
Creating song objects, and sorting them within a playlist by duration, genre, artist, etc.
- Code
by Owen Dinsmore
Bitcoin Analysis
bitcoin analysis using AI modelling of historic and recent closing prices of BTC (analyzing recent patterns to predict future growth or recession in…
- Code
by Owen Dinsmore