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Daniel Villafuerte

Data / ML Engineer

// san juan, pr · UTC-4

Building, learning and building again

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profile sourced from GitHub

Scouting report

Puerto Rico data developer building Python modeling and sports-stats projects

assessed from open-source footprint

Mid
46signal

Daniel works in Python and Jupyter on project-based learning, including an MPC aircraft planner and a Stat139 statistical study of NHL travel fatigue. The portfolio is young (three repos, no stars) but notably active, with 24 commits in the past year signaling real recent momentum. This reads as an emerging data/ML practitioner with academic-style projects rather than adopted production work, but the consistency is a genuine positive.

Authorship & open source

Solo authorwrote 100% of commits on MPC-aircraft-planner
0 merged PRs24 commits / yr900 private contributions / yr

What they build

Data / ML67%
Backend33%

Industry experience

  • Education & EdTech
  • Travel, Food & Hospitality

Signal breakdown

Originality75
Impact7
Consistency89
Polish27
Stars

0

Original repos

3

0% forks

Followers

2

On GitHub

1.5 yr

Live demos

0

Activity

Active

0% stale

Strengths

  • Verified author — wrote 100% of commits on MPC-aircraft-planner
  • Consistently active, low abandonment
  • Data / ML focus with Backend
  • Domain experience in Education & EdTech & Travel, Food & Hospitality
  • Core stack: Python, Jupyter

About

Building, learning and building again — 3 public repositories and 2 followers on GitHub.

Skills

  • Python
  • Jupyter

Featured work