Кирилл Кузнецов
Портфолио
Machine Learning Classification & Data Enrichment
Designed and implemented an automated classification and data-enrichment workflow for large datasets. ● I worked on feature preparation, model training and application using Python and scikit-learn, including TF-IDF features and SVC classification models. I also combined machine-learning predictions with configurable regex rules and confidence thresholds. ● The workflow automatically processes high-confidence predictions while routing uncertain cases for manual review, making large-scale classification more consistent, auditable, and maintainable.
Excel & VBA Automation Toolkit
Developed Excel and VBA tools for repetitive data-processing and reporting workflows. ● The solutions included macros for validation, transformation, deduplication, data preparation, reporting, and integration with SQL-based workflows. I also worked with Power Query and Python when Excel alone was not the most effective solution. ● These tools reduced repetitive manual operations, standardized outputs, and improved the reliability of recurring business processes.
Automated Reporting & Data Processing Workflow
Designed a reusable automation workflow for recurring data collection, validation, transformation, and report generation. ● The solution processes Excel/CSV data, applies data-quality checks and transformation rules, and produces structured outputs with minimal manual involvement. It also includes browser automation for authorized portals, repeatable execution, and error handling. ● My role covered workflow design, requirements, Python automation, data-processing logic, and solution review.
SQL Server ETL & Data Export Automation
Designed and implemented SQL Server workflows for data ingestion, transformation, validation, reference-data management, and recurring exports. ● The projects included stored procedures, automated imports, incremental data loading, data-quality checks, and client-ready exports to formats such as Excel, CSV, TXT, and Parquet. ● I worked on requirements, database logic, SQL development, Python integration, and automation architecture.
