Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.

Upload and Test jobs on the Peviitor API with postman using collection runner and newman

Documentation for Data Caterer

Improving .NET Core MVC Apps Using Extension Points.

Testing saucedemo

This tool validates JSON payloads against schemas using the powerful AJV library. It supports complex, nested structures with detailed error reporting.

Scraping of the jobs available and adding them all in one place at peviitor.ro

O seguinte projeto implementa a validação dos dados digitados nos campos dos formulários com JavaScript.

XSV queries on Amazon Musical Instruments Review and Great-Expectations library for Data Validation

Training and Fitting Different Models on Validation Datasets

A tool for validating telephone numbers based on specific formatting rules, ensuring accuracy and compliance with standard formats.

Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team.

This project utilizes data science methods to analyze wildfire incidents, determining whether they occurred naturally or were intentionally set.

This project is a web scraping and data validation tool built with Playwright, pytest, and pandas. It scrapes country data (such as names, capitals, and currencies) from a specified website and validates it against expected results. The project follows the Page Object Model (POM) design pattern for better maintainability and readability.

Hyein Yoon's personal website