Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2

Participant of the teem - National grant winner with ML model research of budget analysis
IELTS C1
Ph.D.
NLP:
- Q&A chatbot development
- fine-tuning of the NLP models;
- semantic search;

Uplift modeling:
- predicting the result of communication with customer;

Classification:
- Churn prediction;
- Time series classification;

Clusterization:
- Customer base clustering based on transaction data;
- Product2vec clustering; 

Regression:
- Demand forecast for goods;
- Delivery time prediction;
- Customer survival analysis;

Recommendation systems:
- Conditional effect treatment modeling (uplift);
- Products recommendation system;

Computer vision:
- price detection and recognition;
- Bar code detector;

MLOps:
- Terraform for IaC building;
- creating CI\CD pipelines for deployment into different environments;
Seeking a role to make a difference, where I can abide in my passion for the community by creating, evolving, maintaining, and ultimately revealing meaningful insights that support and validate the relevant data-driven change. To satisfy my curiosity and challenge myself by using my multi-disciplinary background to implement scalable ML models, statistical analysis, and beautiful visual assessments.