Jacqueline Carvalho

I have been working as a consultant at Johnson & Johnson since I joined Wipro. I am part of a big project that aims to consolidate the data from all Latin American countries into a data lake built on AWS Cloud. Some of the countries are Brazil, Argentina, Peru, Chile, Bolivia, Ecuador, Colombia, and Mexico. I have to interact with the business analysts of each country to understand the nature of the data and develop the best technical solution.

My main two clients when working at Fifteen Hundred were Inchcape and Klabin. On Klabin I helped to consolidate inventory data from tree plantations. Afte that managers were able to better manage the inventory and the plantation cycles according to their sales demands and available territory. On Inchcape. I helped to consolidate the data in the AWS Cloud and bring the information on dashboard reports. The idea was to understand the customer profile to the development of targeted marketing campaigns.

Santander was my main client when I was a data engineer consultant at Beijaflore. I gave support on the use of Hadoop framework and development of ETL pipelines on PySpark. The logic built on the development of the project was a machine learning model that determined which line of credit a person should receive and also how much money. By combining big data infrastructure and automated analytical decision, Santander was able to save millions per month and reduce the provision for doubtful accounts.

Prepare, analyse and interpret structured and unstructured data using softwares and programming languages in order to extract insights to clients and support internal sub service lines. Construction of dashboards in Tableau. Pilot project: Develop predictive modeling and machine learning algorithms to enhance audit processes. Clients: LATAM, GPA, Stone, 99 Taxi, CCR

Focus on RCP (Retailer, Consumer and Product) clients. Analysis and examination of books, accounts, statutory records, documents of an organization to ascertain that the financial statements as well as non-financial disclosures present a true and fair view of the concern. Clients: Amazon, Fast Shop, GPA, Archer Daniels Midland, Klabin, Gol, Smiles, EcoRodovias, Multiplus, IMC, Saint Marche, InBrands.