Tell me what you do, what projects, tasks, and what you do with your hands?

In my work with machine learning, I develop and implement models to solve business problems, such as demand forecasting, customer classification, or text processing.

Main tasks I perform independently:

• Data collection and preparation: cleaning, transformation, feature creation.
• Exploratory Data Analysis (EDA) to understand the structure and identify patterns.
• Model selection and training: from simple linear models to complex neural networks.
• Hyperparameter tuning and regularization to improve quality and prevent overfitting.
• Model evaluation using metrics and cross-validation.
• Deployment of models into production, writing scripts and APIs for integration.

For example, recently I worked on a project for customer review classification, where I independently prepared data, trained several models, selected the best based on metrics, and then helped integrate the model into a web application.