ETL from various sources of information such as forms, excel books and SQL Server databases. SQL queries by views, tables and columns. Construction of relationship tables, calendar and reports according to the needs of the company. Story Telling of the findings in the KPIs, risk and performance indicators and opportunities

Construction of databases from flat files with the use of Python and the application of different libraries such as Numpy and Pandas

Contact with the laboratory and research users, who raised the requirements of the samples to be measured, from which the forms, methods and measurement criteria of the samples submitted to MicroRaman Spectroscopy Characterization are derived.