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Name: Marco Ciompi
Type: User
Company: Vodafone
Bio: Business Intelligence Analyst | Data Scientist
Location: Milan
Name: Marco Ciompi
Type: User
Company: Vodafone
Bio: Business Intelligence Analyst | Data Scientist
Location: Milan
Using the company's information for the analysis of this case from the perspective of what business analytics can bring to the company, the following aspects have been addresses: SWOT, data monetization, Value chain analysis, 5 forces model analysis, marketing mix, social media analytics, IoT, Organization, culture
Business process modeling project using BPMN representation and Woped in order to check the goodness of the workflow net
One of the biggest challenges of an auto dealership purchasing a used car at an auto auction is the risk of that the vehicle might have serious issues that prevent it from being sold to customers. The auto community calls these unfortunate purchases "kicks". Kicked cars often result when there are tampered odometers, mechanical issues the dealer is not able to address, issues with getting the vehicle title from the seller, or some other unforeseen problem. Kick cars can be very costly to dealers after transportation cost, throw-away repair work, and market losses in reselling the vehicle. Modelers who can figure out which cars have a higher risk of being kick can provide real value to dealerships trying to provide the best inventory selection possible to their customers. The main goal is to predict if the car purchased at the Auction is a Kick (bad buy).
It is a Collection of python notebook from a group project in data mining esplorino Advanced techniques such as classification, neural network, clustering, regressors, forecasting and more.
Project of "Statistical Method" subject regarding business failure in the italian economic framework
Strategic and Competitive Intelligence project on emerging Technologies in precision agriculture sector exploiting patent codes and text mining techniques.
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