Data Analytics
Usage / Purpose#
Here is what I have used data anaytics for.
2021-2026 at Bitergia
- Statistical analysis of Linux kernel errors.
- Analysis of collaborative software development.
2026-2021 at LedaMC
- Function-Point business process sizing.
- Software development analytics.
- Coded software quality analytics.
- Banking database integration pipelines.
- Report automations.
2004-2006 at Techni-Web
- Analytics of sales and stock activity
1997-2006 at Alcatel
- Analytics of distributed system (telephony exchanges) configurations and their evolution.
1990 – 1997 at College
- Evaluation of automatically sampled experiments (for both: learning and actual research) at physics lab.
(Software) Gear#
This are the software tools I've used for data processing.
Dashboard / Business Intelligence Tools#
- Kibana/OpenSearch Dashboards
- (GrimoireLab/Bitergia Analytics Platform)
- LibreOffice/OpenOffice
- Power BI
- Tableau
- Pentaho BI
- Excel
Other data tools#
- Extractors-Transformers-Loaders
- Data generators
- Query builders/labs
- ODBC bridges
Databases#
- ElasticSearch / OpenSearch
- MariaDB
- PostgreSQL
- Netezza
- MS SQL Server
- Oracle
- MS Access
- Firebird Database
- Dbase
Programming Languages#
- Python, Pandas
- Shell/GNU tools (grep, cut, awk, ...)
- Visual Basic for Applications (VBA)
- Standard Query Language (SQL)
- Pascal
- Fortran
Academic Training / Theory Knowledge#
- Open Data metadata standards
- Error Propagation
- Statistics