Saba Bibichadze Email & Phone Number

Tbilisi, Georgia

Key quality assurance efforts for various data-centric projects, ensuring the reliability and accuracy of data used across multiple platforms. Implement and manage automated testing frameworks, develop detailed test plans, and conduct comprehensive data analysis to support the development and deployment of high-quality software solutions.Responsibilities:- Design, develop, and execute comprehensive test plans, test cases, and test scripts to ensure the quality and reliability of data, data pipelines, and related components.- Develop and maintain automated test frameworks and test suites to efficiently validate data.Identify, document, and track software defects, issues, and risks using appropriate bug tracking tools.- Collaborate with developers, data engineers, and stakeholders to ensure timely resolution of identified problems.- Conduct thorough data analysis and validation to support the development of high-quality software solutions.Tools and Technologies:Python, PL/SQL Oracle, Apache Airflow, Jenkins, GitLab, PowerBI, AWS, Spark/Hadoop.

Tbilisi, Georgia

As a Data Quality Engineer in the Analytics Department, I specialize in assuring the integrity and reliability of our machine learning models. These models are essential for optimizing back-office processes and my role focuses on maintaining the highest quality standards for our predictive analytics products, thereby contributing to operational excellence.Main Responsibilities:- Take the lead in validating each phase of machine learning model development and deployment ensuring accuracy and reliability.- Conduct thorough testing for generating target and feature sets primarily using PL/SQL Oracle.- Oversee data preprocessing, using Python based tools like Pandas and PySpark to filter out any irregularities and prepare the data.- Manage and validate data migrations from Oracle databases to HDFS with the help of Airflow.- Ensure the performance of deployed machine learning models.- Perform quality assurance for PowerBI dashboards as well as various services/APIs.Notable Achievements:- Developed and documented testing strategies that have become standard procedures within the department.- Conducted training sessions called "Liderator" to enhance the skills of newcomers.- Mentored two interns, providing hands-on guidance.- Initiated and created a Git template (without CI/CD) to streamline the product development process and improve code review feedback within the team.Products:Worked on back-office operational processes, propensity and risk scoring models. Technological Proficiency:PL/SQL Oracle, Spark/Hadoop, Python, GitLab, Airflow, PowerBI