Pablo A. Guzzi's Linkedin Analytics

I am a young executive with roots in statistical discipline (UNTREF) and two masters (Data mining UBA and MBA Di Tella). Over the years I gained experience in many different areas applying Analytics techniques to generate added value to the business, always with the proliferation and understanding of business, linking Business & Analytics. The leadership of large multidisciplinary teams, the generation of business know-how, adaptability and the strategy to insert analytical equipment into the company are the pillars on which I rely on to develop and strengthen a Data-Driven Decision Making culture. 🎯 My goal is to be able to transform companies through data and generate an intelligent decision making. For this I believe in the great pillar that is to generate a strong link between business and data functioning as CDAO and disseminating the Data Driven culture. 💼 My specialties are: ◾️ Analytical Equipment Management. ◾️ Analytics Project Management. ◾️ Technological / analytical solutions for Customer Experience, Logistics, Marketing, Risk, Collections, Strategic Plans, Finance. ◾️ Event Speaker ◾️ Communicator in courses and universities. 🔗 Manager Skills: Leadership; Efficiency; Commitment; Strategic thinking; Proactivity; Teamwork; Search for excellence; Passion for the client; Customer experience; Emotional Intelligence Technical Skills: ◾️ Predictive Models of Machine Learning, Data mining, Deep Learning ◾️ Data Visualization ◾️ Statistical and Econometric Models ◾️ Reporting Automations ◾️ Generation and Development of Insights 💻 Skills Programming: 🚀 Analytics: SAS Enterprise Guide. SAS Miner STATA SPSS CANCEIS MATLAB Octave WEKA Knime Python Spyder R. Apache Spark. Jupyter JavaScript Machine Learning Studio 💾 BBDD: Oracle. SQL Server My SQL Teradata 📊 Data Viz: Reportlab. Power BI Tableau D3 Shiny. Plotly Qlik Sense, SAS Graph, SAS Visual Analytics. Highlights: Data Science, Decision Science, Analytics, Data Mining, Big Data, Machine Learning, Models, Data Visualization, Statistical Information Systems, Database Management, Application of Statistical Methods, Statistical Analysis of Results, Marketing, Business Intelligence, AI Artificial Intelligence, Deep Learning , Computer Vision, Text Mining. Data-Driven, Digital Transformation, Video Analytics, Data Governance, Data Engagement, Team Leadership, Strategic Thinking, Team Creator, Motivator. Timeline: https://bitly.com/3oGbAlr