GiniMachine AI
Maria Ferreira has a background in Finance and International Business, with experience in product development and innovation in various companies such as GiniMachine, HES FinTech, and WizeRise. At GiniMachine, Maria serves as an R&D Executive, at HES FinTech as an R&D Executive Manager and Head of Business Innovation, and at WizeRise as the Head of Innovation. Additionally, Maria previously worked as a Product Development Manager at Access. Maria holds a Master's degree in Finance from Université Paris Dauphine - PSL and a Bachelor's degree in International Business, Finance, and Governance from Université Paris-Est Créteil.
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GiniMachine AI
GiniMachine is a no-code AI solution for data predictions within minutes. It utilizes machine learning algorithms and historical data to build high-performing scoring models. The platform does a huge preparatory job and helps you make informed and balanced decisions. Fast performance, friendly interface, and prediction accuracy are its key competitive advantages. Key benefits of GiniMachine AI: 1. Fast, fully autonomous, and automated model building process. With a prepared dataset, it takes a few minutes to build and validate a scoring model. Thus, it saves hundreds of hours of manual work for data analysts. 2. High performance and predictive power. Typically, up to 15 points of the Gini Index compared to traditional models based on logistic regression. 3. Ease of use - no special training or engineering background is required to build a model. 4. Built-in scoring model evaluation and validation tools. 5. Ability to use unstructured and big data. Ability to handle imperfect and missing data. With GiniMachine, you can build any number of custom models for various business cases. The system can analyze all types of data to isolate patterns important for credit scoring, fraud, churn, e-commerce, healthcare, marketing models, etc. GiniMachine gives every user the power of no-code AI to make accurate business decisions.