Scouting report
Mechanical-engineer-turned-data-scientist writing Python/Jupyter analytics for hardware problems
assessed from open-source footprint
A Puerto Rico-based mechanical engineer moving into data science, working almost entirely in Jupyter and Python (disciplines ~92% Data/ML). His most notable work is a notebook estimating Remaining Useful Life of a turbofan engine, plus an Edelcar wireless tank-level sensor project, reflecting a genuine IoT/hardware-analytics niche. Evidence is thin overall (1 star, ~0.82 abandoned ratio, only 3 commits last year), so this is a small, domain-flavored portfolio rather than an actively maintained body of work.
Authorship & open source
What they build
Industry experience
- IoT & Hardware
- Data, ML & AI
Signal breakdown
1
top repo 1
11
0% forks
3
6.3 yr
0
Active
82% stale
Strengths
- Verified author — wrote 100% of commits on Nicolas-Carvajal-Module-2-Project---BW-Turbofan-Engine-Degradation
- 22 merged pull requests
- Original builder — 11 of their own repositories
- Data / ML focus with Backend
- Domain experience in IoT & Hardware & Data, ML & AI
- Core stack: Jupyter, Batchfile, Python
About
Skills
- Jupyter
- Batchfile
- Python
Featured work
Nicolas Carvajal Module 2 Project BW Turbofan Engine Degradation
Notebook to estimate the Remaining Useful Life of a Turbofan Engine given certain datapoints.
- Jupyter
by Nico C.
Edelcar Wireless Tank Level Sensor
Wireless Tank Level Sensor
- Batchfile
by Nico C.
Springml Assessment Nycairbnb
SpringML Assessment
- Code
by Nico C.
Nico Carvajal Winter 2022 Data Science Intern Challenge
Winter 2022 Data Science Intern Challenge
- Jupyter
by Nico C.
Kaggle Tanzanian Water Pump
Model built for Kaggle Tanzanian Water Pump Competition.
- Jupyter
by Nico C.
HURDAT
Analysis of NOAA Atlantic Hurricane data from 1851-2019.
- Jupyter
by Nico C.