Bruno Scheibler

Business Intelligence Analyst

NSC Comunicação•  September 2019 - Present

• Implemented machine learning algorithm to improve the efficiency of debt collection operations. • B2C data analysis using Python libraries such as NumPy, Pandas, Matplotlib and Scikit-learn. • Development of web pages with interactive dashboards including JavaScript graphics, using Google Chart API. • Programming and monitoring of data integration scripts between Oracle and Google Analytics, recording results in Google Spreadsheets. • Assessment of the business intelligence maturity level in the company. • Design of the big data cloud solution architecture, comparing AWS and GCP solutions. • Mentoring and data analysis in a data journalism project. Data mentoring at the NSC Hackaton.

Universidade Federal do Rio Grande do Sul

Production Engineering, BS•  March 2007 - December 2012

GPA 8.556 out of 10 Ranked as best Brazilian university and 2nd best Industrial Engineering program (Brazilian Education Ministry, 2012). Dissertation on outliers detection on fleet refueling fraud attempts. Classified as 3rd place among 29 students, based on GPA.