Describe the technical steps of automating a business process using an example of HR (resume screening for Anastasia).

The automation of the resume screening process for Anastasia may include the following technical steps:

1. Data collection: integration with resume sources (email, job sites, databases).
2. Data preprocessing: parsing resumes from various formats (PDF, DOCX, text), extracting key fields (name, experience, skills).
3. Analysis and filtering: applying rules or machine learning models to assess candidate relevance (e.g., matching skills with job requirements).
4. Candidate ranking: sorting by scores or probability of successful hiring.
5. Automatic notification sending: informing Anastasia about the best candidates via email or internal system.
6. Integration with HR system: automatically creating candidate cards or tasks for further review.

Example of a technical implementation:

• Use Python for parsing resumes with libraries like pdfminer or python-docx.
• Train a classification model (e.g., based on TF-IDF and logistic regression) to assess relevance.
• Set up an ETL process for regular data updates.
• Use REST API for integration with the HR system.

This approach helps reduce initial screening time and improves candidate selection quality.