profile sourced from GitHub
Scouting report
Dominican data scientist building ML and data-engineering projects in Python
assessed from open-source footprint
Giancarlos is a focused data/ML developer with very high solo output (306 commits last year) across Python, SQL, and Spark. His DeepValueAI is a concrete ML asset-selection system on the S&P 500 with a Streamlit front end, complemented by a banking-focused data-engineering roadmap using Airflow and Azure. Stars and followers are low, but the work is coherent, domain-relevant (finance/banking data), and clearly his own.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- Fintech & Payments
- Education & EdTech
Signal breakdown
1
top repo 1
6
0% forks
1
2.7 yr
2
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on DeepValueAI
- 306 commits in the past year
- Original builder — 6 of their own repositories
- Ships to production — 2 live demos
- Consistently active, low abandonment
- Data / ML focus with Backend
- Domain experience in Data, ML & AI & Fintech & Payments
About
Skills
- Python
- JavaScript
- Jupyter
- Airflow
- Azure
- Banking
- Data Engineering
- Data Warehouse
Featured work
DeepValueAI
Intelligent asset selection system — S&P 500 · ML · Streamlit
- Python
by Giancarlos Estevez
De Roadmap
8 banking projects with real datasets, modern data stack, and zero-cost path.
- Airflow
- Azure
- Banking
- Data Engineering
- Data Warehouse
by Giancarlos Estevez
Customer Churn ML
Churn prediction for a telecom company — EDA, data cleaning, and ML modeling with Python & Pandas
- Jupyter
- Churn Prediction
- Data Science
- Eda
- Machine Learning
by Giancarlos Estevez