profile sourced from GitHub
Scouting report
Data scientist focused on cybersecurity ML
assessed from open-source footprint
Alvinus works the data/ML lane in Jupyter and Python — notably a TensorFlow deep-learning analysis on the UNSW-NB15 cyber-security dataset, plus 'glofi' for GLOF intensity from CSV data. Output is steady but academic in scale (15 commits last year, 1★ top repo, no merged PRs). A reasonable mid-level data-science candidate whose strength is applied analysis over production engineering.
Authorship & open source
What they build
Industry experience
- Education & EdTech
- Data, ML & AI
- Security & Identity
Signal breakdown
1
top repo 1
9
10% forks
11
8.2 yr
0
Active
78% stale
Strengths
- Verified author — wrote 100% of commits on TensorFlow-Deep-Learning-on-UNSW-NB15
- Original builder — 9 of their own repositories
- Data / ML focus with Backend
- Domain experience in Education & EdTech & Data, ML & AI
- Core stack: Jupyter, Python
About
Skills
- Jupyter
- Python
Featured work
TensorFlow Deep Learning On UNSW NB15
This analysis explores a large cyber security dataset. The analysis is done using descriptive and inferential statistics. In addition some machine le…
- Jupyter
by Alvinus Melius
glofi
calculates GLOF intensity from data ingested from a CSV file.
- Python
by Alvinus Melius
Exploring SAT Scores In NYC
This is a Data Science Project which explores SAT scores amongst schools in various districts in New York City. This projects explores the correlatio…
- Jupyter
by Alvinus Melius
MLBwithSQLite
This notebook explores major league baseball stats with SQLite. This project allowed me to better my SQLite skills as well as learn about baseball. A…
- Jupyter
by Alvinus Melius
Vehicle Collision
This project analyzes traffic collection data collected by the NYPD in NYC.
- Code
by Alvinus Melius
musicstoredb
This analysis is based on the chinook database which is an SQLite database with records from a music store. This database was provided for a project…
- Jupyter
by Alvinus Melius