Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2.5

• Master in Economics
  The main concentrations -Behavioral and Moder Data Analyses

•Master Research Topic Competition
 Issued by Fintech& Suptech Development at NBG at National Bank of Georgia 

•International Scientific-Technical Conference
Issued by Shota Rustaveli National Science Foundation of Georgia
Credit risk squad:
 • Creating machine learning models for credit risk scorecards(approval rate improved by 7%);
 • Designing an exploratory data analysis(EDA) and visualizing the loans request process to optimize 
 communication frequency;
 • Creating a machine learning model to predict pre-approved loans;
 • Communicating project deliverables and goals with business teams;
 
Customer activation squad:
 • Improving customer activation rate based on onboarding process by classification(XGBoost 
 classifier) and clustering(K-means) models;
 • Analyzing and predicting customers' product consumption behavior and churn rate;
 • Creating machine learning models(Python, Scikit-learn) to improve cross-sell ratio;
 • Translating data insights and key results for business teams;

Gamification squad:
 • Catching fraud detection by analyzing customers spending behavior;
 • Creating distribution of gamification leaderboard;
 • Design RFM scoring and analyzing customers movement into different clusters by PowerBI;
 • Creating and deployment CLV models on AWS;

Product improvement squad:
 • Creating a real-time card transaction categorization engine;
• New challenges  
• Learning new technologies 
• Working with an international team 
• Solving big scale problems