My role focuses on the administration, inspection and resolution of problems related to databases, ETLs, and differences in data sources, what is reported to the client and what is displayed on the dashboards. My daily work includes the use of tools such as SQL, AWS, Visual studio, Datagrip, Snowflake, Bitbucket, Slack and Jira, In addition, I am responsible for solving problems related to SQL code of flow ETLs

Extract, transform and load data, as well as analyze complex information to provide adequate treatment and understanding through visualizations, dashboards and presentations that allow understanding of the data. I particularly excelled in my sentiment analysis project where I applied my knowledge in Python, Power BI, visual studio and advanced excel to identify trends and patterns in customer PQRs

Analyze customer comments using data analysis methods for handling unstructured information and giving clear results of people's complaints and problems.

My responsibilities here were to maintain the optimal capacity of the call center operation according to the capacity of available advisors. Here I presented reports to the internal client and always looking for a quick response on calls that were finally clients.

Design of a dashboard that obtained real-time information in which the capacity of consultants in the plant and the effective capacity of consultants were seen. Reducing response times and optimizing the use of resources in the Call center operation