Miguel Enrique Camargo Email & Phone Number

Bogota,D.C., Capital District, Colombia

• Define and implement an analytics strategy that allows the company to grow continuously, through a data-driven experimentation culture using cutting-edge tools and techniques.• Implement the suitable changes in the processes, data sources, visualization and analysis of information to eliminate possible discrepancies and blind spots in the operation and finances of the company.• Evaluate and implement projects focused on the use of information for a more advanced knowledge of the industry, the business and the client, and the creation of new business units.• Automate the most time consuming processes and create self-management tools for the areas with the highest demand for information.• Lead the Ancillary Revenue Squad by fostering the discussion of potential opportunities, fast and efficient validation, MVPs development and data-driven decision making.

Bogotá

• Understand as soon as possible the data model and the data sources to solve the priority information needs of senior management, and the periodic ones typical of the day-to-day operation of the company.• Establish the causes of differences among multiple sources of information, and design a plan to correct them.• Reduce costs through the development of in-house solutions for outsourced information services.

Bogotá D.C. Area, Colombia

• Work in collaboration with the Business Intelligence team, IT departments and external information providers (such as Mercator, IATA and ATPCO) through agile methodologies on the implementation of strategic data related projects within schedule and the requirements of the commercial and revenue management teams. • Address resistance to change among the commercial and revenue management departments through timely communication and effective negotiation. • Support high impact/value decisions with data driven insights, analysis based on business knowledge and advanced database management skills.

Bogotá D.C., Colombia

• Ensure the reliability, punctuality and completeness of the information contained in the databases delegated to the Analysis and Performance Division as well as the pertinence and correctness of the business rules and ETL processes. • Ensure and improve the quality of the decision-making tools used by the vice-presidency. • Define and meet the training requests of the vice presidency. • Satisfy the information requirements presented by the users of the business areas and interested areas, in accordance with the data governance policy defined by the company.

Bogotá D.C., Colombia

• Design and develop models and data tools to support the effective decision making in the Revenue Management Vice-Presidency,based on state-of-the-art scientific knowledge and industry trends. • Automate the update process of the recurrent reports used for the decision making, in order to focus the team’s efforts in the development of analysis and mathematical models.

Master In Industrial Engineering, Industrial Engineering

Exploratory Data Analysis, Engineering, 100% - Accomplishment With Distinction

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal.

The Data Scientist’S Toolbox, Engineering, 100% - Accomplishment With Distinction

This course gives an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data.

Model Thinking, Engineering, 98.4% Accomplishment With Distinction

The models covered in this class provide a foundation for future social science classes, whether they be in economics, political science.

Engineer’S Degree, Industrial Engineering, Ingeniero Industrial