Vakha Gaparkhoev

Vakha Gaparkhoev Email and Phone Number

Machine Learning Engineer @ Maxim Technology
Vakha Gaparkhoev's Location
Moscow, Moscow City, Russia, Russian Federation
About Vakha Gaparkhoev

Vakha Gaparkhoev is a Machine Learning Engineer at Maxim Technology. They is proficient in Английский.

Vakha Gaparkhoev's Current Company Details
Maxim Technology

Maxim Technology

View
Machine Learning Engineer
Vakha Gaparkhoev Work Experience Details
  • Maxim Technology
    Machine Learning Engineer
    Maxim Technology Jan 2024 - Present
  • Dom.Rf Bank / Банк Дом.Рф
    Data Scientist
    Dom.Rf Bank / Банк Дом.Рф Jan 2021 - Jan 2024
    Moscow City, Russia
    – Developed a credit scoring models for consumer credit– Participated in the development of default risk assessment model for general contractors– Developed a credit scoring model for mortgage
  • Sberbank
    Machine Learning Engineer
    Sberbank Mar 2019 - Jan 2021
    Москва, Россия
    – Developed NLP models (named entity recognition) for robot-lawyer– Deployed models to production: creating, testing and supporting ML-services– Developed chatbot for the prevention of cognitive distortions

Vakha Gaparkhoev Education Details

Frequently Asked Questions about Vakha Gaparkhoev

What company does Vakha Gaparkhoev work for?

Vakha Gaparkhoev works for Maxim Technology

What is Vakha Gaparkhoev's role at the current company?

Vakha Gaparkhoev's current role is Machine Learning Engineer.

What schools did Vakha Gaparkhoev attend?

Vakha Gaparkhoev attended Российский Университет Дружбы Народов (Рудн).

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.