Senior Data Analyst
About Me
Passionate athlete with great analytical ability and experience in agile methodologies, always seeking
continuous improvement both in the workplace and personally. High learning capacity and adaptability to changes, oriented and committed to achieving results in collaborative teams, proactive, with a focus on data and particularly focused on effectively solving problems. With 11 years of experience working and 11 years of competitive swimming practice, I have developed a strong sense of discipline, perseverance, and the ability to work under pressure to achieve goals in short periods of time.
Skills
PythonAnalytical SkillsData AnalysisAzureGitMySQLAzure DevOpsBankingEnglish Language
Education
Big Data and Analytics
Experience
• 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.
• S3 data extraction through Athena to better understand customers and
develop insights for IAB reports.
• Evaluate the quality of the data ingested in R and improve its structure.
• Development of dashboards in Kibana upon request.
•Creation of machine learning models for analyzing ingested data and
contributing insights to the commercial area.
Achievements:
• Development of a project in Python to control data intake in Kibana, and to
be able to identify and correct imbalances effectively.
• Generation of KPIs in python and storage in SQL for the development of future
dashboards in R
• Analyze information and manage indicators for the evaluation and
measurement of the scope of the projects that the area implements, to
propose solutions based on the problem investigated, monitor, and make
continuous improvements.
Achievements:
• Elaboration of the KPIs of the area, and control and monitoring formats of
these.
• Analysis of information and preparation of reports for General Management.
• Support for the supervision of outsourced services (systems and surveillance).
• Collaboration in the implementation of internal projects (Office 365, Avaya
telephone exchange, implementation of new offices).
Achievements:
• Implementation of a more efficient and effective process for the liquidation
of expenses on behalf of clients.