Senior Data Analyst KPMG
• Configuration and implementation of R code for statistical analysis in large
volumes of data.
• Development of R scripts that complete and optimize functions already
developed in SAS to migrate code to a new analytical platform installed in R
Studio.
• Gathering of requirements for elaboration of a dataset in SQL for development
of analysis of credit models.
• Development of ETL processes and pipelines through SQL and Python to
create derived variables used in IFRS9 model.
• Evaluation of the dataset through data quality report generated in python,
and implementation of remediation if needed.
Achievements:
• Redevelopment of scripts for implementing the IFRS9 3B model dataset,
including the creation of data quality scripts and the improvement of
documentation for enhanced clarity. This redevelopment got to improve the
readability of the script, deliver higher-quality datasets, optimize execution
time, and ensure comprehensive documentation.