Extract and clean data from public sources to load them into local databases, supporting the development and maintenance of data pipelines for unstructured data Transform and analyze data to size the market and potential users, developing and suggesting solutions and strategies to business challenges. Organize and present information using data visualization techniques such as dashboards to measure performance in areas such as marketing and finance.

I included public data information to the business db to increase the scope and scale of the analysis throughout the country, enriching the information for decision-making in the launch of businesses, through analytics solutions based on BI and Big Data to digital transformation

Extract, clean and enrich data for use in ongoing projects, as well as investigate and analyze valuable data sources to contribute to process modeling Perform pre-processing of structured and unstructured data, contributing to the creation of predictive models and machine learning algorithms for the adjustment of user profiles to known categories. Preparation of visualization dashboards for monitoring the behavior of the models

Developed dense neural networks to predict determinant user variables, with an accuracy of 96%, which allowed condensing the variables to be used for the required analysis. I implemented NLP, especially sentiment analysis and topic categorization for rapid classification

Measure the process control variables to ensure the efficient use of resources to achieve optimal results and maximum use of resources. Verify the correct operation of the production traceability system, reporting discrepancies between real inventory and inventory in the database.

Automate the method of measurement and reporting of descriptive variables of sucrose crystals, reducing the time per measurement from 1 hour to 15 minutes, changing the sampling from a few hundred individuals to at least two thousand per sample, through the use of a image capture software.