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Developing a comprehensive solution powered by sentiment analysis, machine learning algorithms, and trading strategies for better-informed trading decisions.

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Churn prediction model for business customers that identified potential churners with higher precision than the client’s existing model, achieving a 15-20% improvement in accuracy.

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Our client is building a new real-estate evaluation system where tax will be calculated based on the property value.