Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 4

Created ML model for a company that made them possible to drop service time for
specific group of customers and and also extended that group of customers, which
generated more revenue and competitors on the market started developing the same ML
model.The idea of this model was initiated by me.Company was more than 10 000
employee size

Physics olympiad winner in Republic Of Georgia

5th place in Georgian SAT between 35 000 participants
I am a Data Scientist with 4+ years of experience.
worked for 4 companies in total.Currently working for WTX , where I already accomplished:
 Developed "on-shelf" model to classify all products in stock based on internal and external data
 Trained and deployed model in production using Azure machine learning studio.I used github actions for CI/CD,
Terraform for the infrastructure and Mlflow as an orchestrator
 Architected and designed efficient and scalable data pipelines that can extract, transform, and load data from several sources into the data warehouse or data lake.For example ETL than extracted data from Hubspot using Hubspot api ,
transform and loaded into Azure data lake
 Data modeling and schema design: designed and implemented database schemas, defined tables, fields, relationships, and constraints to support efficient data storage and retrieval