Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5

IELTS 7.5;
Scraped lots of fraud-related datasets: adult-related, carding-related, personal data-related.
2.5+ years: Fraud Manager
E-commerce fraud management (classification modeling & outlier detection), risk assessment (modeling payment fraud, detecting merchant fraud, AML/FT modeling), researching and implementing monitoring routine, improving chargebacks prevention routine, fraud patterns research, detecting phishing attacks routine, fraud policy development, information security policy development).

2.5+ years: Credit Risk Manager
PDL risk management & credit scoring (regression tasks, classification tasks, credit scorecard development, business metrics evaluation, clients segmentation, collection scoring).

2+ years: Data Analyst
Performed an extensive data analysis for e-commerce merchants and instagram shops.
Created dashboards, visualized KPIs, and provided statistical data for regular reports. Successfully experimented with churn prediction modeling and seasonal stock balance forecasting. Scraped data from competitors shops, scraped instagram subscribers-likes-comments data, scraped personal data and phones from ad campaigns/emails/messaging archives.

2+ years: Embedded software engineer
Created firmware for orientation/navigation solutions.