GiniMachine AI
Yury Zelensky is a co-founder & Chief Data Scientist at GiniMachine, also serving as a Non Executive Board Member and CTO at Itransition Group. With experience in software engineering and development, Yury has been involved in various tech-related activities such as software and IT architecture elaboration, talent acquisition, and business development. With a Master's degree in computer science, informatics, and math from Belarusian State University, Yury has a strong background in the field of technology.
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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.