Scouting report
Applied ML researcher — packaged a facial-emotion library
assessed from open-source footprint
Jorge ships real ML artifacts: a Fast Facial Emotion Monitoring (FFEM) package (13★) and a Google-finance forecasting/anomaly-detection notebook, with an 83%-data/ML discipline mix and high originality. Activity is moderate (18 commits last year) and 78% of repos are abandoned, so the depth is in a few focused projects rather than sustained output. A fit for a data-science role centered on CV/time-series prototyping.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- Education & EdTech
- Climate & Sustainability
Signal breakdown
25
top repo 13
27
27% forks
38
6 yr
1
Active
78% stale
Strengths
- Verified author — wrote 100% of commits on Google-Finance-Forecasting-Anomaly-Detection
- Original builder — 27 of their own repositories
- Data / ML focus with Backend
- Domain experience in Data, ML & AI & Education & EdTech
- Core stack: Jupyter, Python, PureBasic
About
Skills
- Jupyter
- Python
- PureBasic
- Berkeley Earth
- Climate Action
- Climate Change
- Driven Data
- Global Warming
Featured work
Fast Facial Emotion Monitoring FFEM Package
This package provides a simple and efficient way to perform Facial Emotion Recognition (FER). It leverages advanced techniques and algorithms to dete…
- Python
by Jorge Felix Martínez Pazos
Google Finance Forecasting Anomaly Detection
Google Finance Forecasting Using Simple Neural Networks & Anomalies Detection using ADTK. Dataset Aqcuired from Yahoo Finance.
- Jupyter
by Jorge Felix Martínez Pazos
X COVNets
Deep Convolutional Neural Network Models using Deep Transfer Learning through the Xception Architecture for computer-aided chest xray diagnosis
- Code
by Jorge Felix Martínez Pazos
NASA Mission Pale Blue Dot
World Temperature Viewer is more than just a data visualization tool; it is a conduit for knowledge transfer, fostering a greater understanding of th…
- Jupyter
- Berkeley Earth
- Climate Action
- Climate Change
- Driven Data
by Jorge Felix Martínez Pazos
Fraud Transaction Detection For Anti Money Laundering Systems
This project develops a new approach to fraud transaction detection for anti-money laundering (AML) systems. The approach uses machine learning and a…
- Code
by Jorge Felix Martínez Pazos
Neo Dashboard Saver
A Python class designed to streamline the process of saving NeoDash dashboards in Neo4j simplifying the automation of deploying dashboards to product…
- Python
by Jorge Felix Martínez Pazos