Gleb Radchenko Email & Phone Number

Richardson, Texas, United States

Defined key metrics and rules for reporting models to capture new fraud types.Ingested, transformed, cleaned and augmented internal and external data assets. Automated data pipelines to process.Lead testing of advanced anti-fraud image recognition model for internal Data Science team by verifying OCR models and curating datasets, optimizing model accuracy using Python and SKLearn.Worked closely with fraud detection software providers to test and deploy system updates, improving detection capabilities.Performed data cleaning and EDA (exploratory data analysis) using a variety of Python libraries for Data Science Team purposes. Effectively worked within both Waterfall and Agile (SCRUM) SDLC models. Experienced with JIRA.Communicated findings to stakeholders in a weekly manner.Interpreted technical lingo and technical support to non-technical team members at all levels. Collaborated closely with engineers, scrum master, product, and project managers to validate software quality and functionality before client release.

Kyiv City, Ukraine

Performed root cause analysis on fraud cases to identify vulnerabilities and recommended system enhancementsMonitored and analyzed transaction data to identify suspicious activities and potential fraud, preventing financial losses exceeding $250k annually. Verified current sources of incoming traffic for fraud prevention purposes and analyzed requests to compose and deliver contracts for business opportunities using pre-existing data coupled with new sales data.Collaborated with cross-functional teams to create an automated dashboard system that improved decision-making processes. Developed and maintained SQL and Python scripts to automate processes and enhance system functionalities, significantly improving operational efficiency.Led the development and deployment of an analytical module within the CRM for automating payroll processes, demonstrating a blend of technical proficiency and understanding of business operations.

Kyiv Metropolitan Area

Completed comprehensive data analysis of prospective production data, resulting in a contract worth $1,3M.Prepared weekly operations report and data visualization for tactical and strategic decision making.Initiated and delivered a unification of CRM systems using Python and SQL.Implemented data validation system between accounting and warehouse platforms.Introduced a new process for document management with international partners. Developed a warehouse reporting system prototype that improved warehouse efficiency by 15%.

Kyiv, Kyiv City, Ukraine

Consulted on technical issues regarding accounting and tax softwareAnalyzed and improved companies’ financial software using accumulated annual dataConducted a process improvement analysis for a manufacturing company to reduce production costs and increase efficiency. Collaborated with cross-functional teams to ensure successful project delivery