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Desenvolvimento de um modelo preditivo como ferramenta de eficiência operacional
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No âmbito do segundo semestre do mestrado em Business Intelligence and Analytics, do
Instituto Superior de Contabilidade e Administração do Porto (ISCAP), o presente
relatório tem como objetivo descrever e dar provas das tarefas desenvolvidas no estágio
curricular entre 5 de março de 2025 e 13 de junho de 2025, realizado em regime híbrido
na Luís Simões, uma empresa de transporte e logística com sede em Loures.
As funções e tarefas exercidas durante o estágio focaram-se na realização da previsão de
produção de caixas e expedições, de um cliente, nos dois maiores armazéns da empresa,
em Gaia e no Carregado.
No presente relatório encontra-se a descrição detalhada de todas as atividades executadas
durante o estágio na Luís Simões, onde pude aplicar todos os conhecimentos adquiridos
nas unidades curriculares do mestrado de Business Intelligence and Analytics do ISCAP.
Durante o estágio, tive a oportunidade de utilizar diversas ferramentas e de consolidar os
meus conhecimentos teóricos através de atividades práticas com clientes, cumprindo
assim todos os objetivos definidos para o período.
Em suma, o estágio consolidou a aplicação prática dos conhecimentos, culminando na
implementação de modelos preditivos que resultaram em melhorias significativas na
tomada de decisão e na eficiência operacional da organização. A experiência permitiu o
desenvolvimento de competências técnicas e analíticas essenciais, ao mesmo tempo que
identificou oportunidades de aperfeiçoamento dos modelos de previsão.
As part of the second semester of the Master's degree in Business Intelligence and Analytics at the Instituto Superior de Contabilidade e Administração do Porto (ISCAP), this report aims to describe and provide evidence of the tasks developed during the curricular internship, which took place between March 5, 2025, and June 13, 2025. The internship was conducted under a hybrid model at Luís Simões, a transport and logistics company headquartered in Loures. The duties and tasks performed during the internship focused on forecasting a client's box production and shipments at the company’s two largest warehouses, located in Gaia and Carregado. This report provides a detailed description of all activities executed during the internship at Luís Simões, where I was able to apply all the knowledge acquired in the course units of the Master's degree in Business Intelligence and Analytics at ISCAP. During the internship, I had the opportunity to utilize various tools and to consolidate my theoretical knowledge through practical activities involving clients, thereby fulfilling all the objectives defined for the period. In summary, the internship solidified the practical application of knowledge, culminating in the implementation of predictive models that resulted in significant improvements in the organization's decision-making and operational efficiency. The experience allowed for the development of essential technical and analytical competencies, while also identifying opportunities for refining the forecasting models.
As part of the second semester of the Master's degree in Business Intelligence and Analytics at the Instituto Superior de Contabilidade e Administração do Porto (ISCAP), this report aims to describe and provide evidence of the tasks developed during the curricular internship, which took place between March 5, 2025, and June 13, 2025. The internship was conducted under a hybrid model at Luís Simões, a transport and logistics company headquartered in Loures. The duties and tasks performed during the internship focused on forecasting a client's box production and shipments at the company’s two largest warehouses, located in Gaia and Carregado. This report provides a detailed description of all activities executed during the internship at Luís Simões, where I was able to apply all the knowledge acquired in the course units of the Master's degree in Business Intelligence and Analytics at ISCAP. During the internship, I had the opportunity to utilize various tools and to consolidate my theoretical knowledge through practical activities involving clients, thereby fulfilling all the objectives defined for the period. In summary, the internship solidified the practical application of knowledge, culminating in the implementation of predictive models that resulted in significant improvements in the organization's decision-making and operational efficiency. The experience allowed for the development of essential technical and analytical competencies, while also identifying opportunities for refining the forecasting models.
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Previsão Data Analytics Data-Driven Decision Making Visualização de dados Forecasting Data Analytics Data-Driven Decision Making Data Visualization