Risk Level Classifier and Cost Deviation - Machine Learning

In this video, Sergio Basta, a graduate of the Data Science Institute, presents his final project entitled "Risk Level and Cost Deviation Classifier." This innovative model uses Machine Learning algorithms to predict the level of risk associated with a project and the estimated variation in costs. During the presentation, the benefits of the model will be discussed, including cost savings, early visibility of risk, and improvements in the quoting process. In addition, lessons learned about data manipulation and evaluation of different algorithms will be shared. Don't miss it!
About Sergio Basta: I have a degree in Systems with more than 30 years of experience in the Technology sector. During my career I have played different roles from Programmer, Functional Analyst, Team Leader, and Project Manager. I have worked in different sectors such as Health, Utilities, Consulting Services, and have worked in renowned institutions and companies (Garrahan Hospital, Synapsis - Endesa Group, IBM, and currently SAP). My interest in taking the Diploma was to acquire new knowledge that accompanies the current situation of demand for innovations such as machine learning models and to be able to apply them either in my current role related to project management processes and tools or new challenges.
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