Marcos Gensollen
Commercial Insights & Analytics Champion @W. L. Gore & Associates
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WORK HISTORY
Commercial Insights & Analytics Champion @W. L. Gore & Associates
Lead EMEA and Semicon Commercial Analytics
EDUCATION
University of North Carolina at Greensboro
Graduate Certificate in Business Analytics, Business Analytics
Universidad de San Martín de Porres
Law Degree - J.D., Law
Universidad de San Martín de Porres
Bachelor's degree, Law
Georgia Institute of Technology
Master of Science - MS, Analytics - Concentration in Computational Data Analytics
University of North Carolina at Greensboro
Master of Business Administration (MBA), Concentration in Business Analytics, Business Administration and Management, General and Business Analytics
SKILLS
ABOUT MARCOS GENSOLLEN
My diverse experiece provides me with a comprehensive perspective. During my career as a data analyst, I have developed expertise in using predictive analytics and visualizations to present business solutions to stakeholders and executives in many fields. During my career and academic experience I have been able to: Create reports using statistical tools that had a positive and meaningful impact in revenue generation Elaborate predictive statistical models(regressions, clustering, pattern recognition, decision trees, neural networks, etc) to improve the organization performance and guide decision making Use descriptive analytics to support data-driven decisions Understand diverse fields through my experience in different sectors (public and private) Collaborate with professionals from different backgrounds(analysts, project managers, lawyers, software engineers, product managers etc.) and manage projects to implement new systems for data analysis Develop multidisciplinary and international experienceTechnical skills: SQL, SAS Visual Analytics, SAS Enterprise Guide, SAS Enterprise Miner, Tableau, Excel, Adobe Analytics, Data Studio, Python for Data Analysis, Data Wrangling and Google AnalyticsStatistics Skills: Linear Regressions, Logistic Regression, Neural Networks, Clustering, Decision Trees, Descriptive Analytics.
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