Denise Cianfarani is a customer service specialist with over 15 years of experience in customer service roles across various industries. She has excellent communication, problem-solving, and relationship building skills. Her resume highlights her history of successfully handling customer complaints, ensuring customer satisfaction, and finding solutions to issues. She is currently looking for a new opportunity where she can apply her dedicated approach to customer service.
: Results driven, accomplished senior professional with more than 20 years of experience in management of business operations and commercial software applications. A team leader with strong communication, analytical, process and problem solving skills
Mr David Juris, founded Generation Sales Group, in the year 2002. Backed by his work experience at Xerox, he has used the wisdom and skill gained at Xerox to position his company as one of the leading company’s , in the U.S.
: Results driven, accomplished senior professional with more than 20 years of experience in management of business operations and commercial software applications. A team leader with strong communication, analytical, process and problem solving skills
Mr David Juris, founded Generation Sales Group, in the year 2002. Backed by his work experience at Xerox, he has used the wisdom and skill gained at Xerox to position his company as one of the leading company’s , in the U.S.
Applying Neural Networks and Analogous Estimating to Determine the Project Bu...Ricardo Viana Vargas
This paper aims to discuss the use of the Artificial Neural Networks (ANN) to model aspects of the project budget where traditional algorithms and formulas are not available or not easy to apply. Neural networks use a process analogous to the human brain, where a training component takes place with existing data and subsequently, a trained neural network becomes an “expert” in the category of information it has been given to analyse. This “expert” can then be used to provide projections given new situations based on an adaptive learning (STERGIOU & CIGANOS, 1996).
The article also presents a fictitious example of the use of neural networks to determine the cost of project management activities based on the complexity, location, budget, duration and number of relevant stakeholders. The example is based on data from 500 projects and is used to predict the project management cost of a given project.