Egor Kraev

Data Scientist

https://talent.gravityer.com/egor-kraev

Dagon Analytics Ltd

Key Strengths

Extensive personal projects demonstrating practical application of Python and Jupyter Notebook for data science and machine learning tasks.
Experience with PyTorch for building and adapting transformer models and VAEs, indicating a strong foundation in deep learning frameworks.
Focus on causal inference (causaltune) and semantic layers (slayer) aligns well with advanced data science research and application.
Current role as a Data Scientist at Dagon Analytics Ltd, though without detailed responsibilities, suggests professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong inclination towards independent project development and exploration of advanced machine learning concepts. The diversity of personal projects, from AutoML for causal inference to generative models and semantic layers, suggests a proactive and curious individual. However, without team-based project experience or detailed professional responsibilities, it's difficult to fully assess cultural fit in a collaborative environment. The focus on personal projects indicates a self-starter, which can be a positive cultural attribute.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical projects.

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Projects

slayer

March 17, 2026 – Present

SLayer: a lightweight semantic layer for AI agents and humans

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causaltune

January 17, 2022 – December 18, 2024

AutoML for causal inference.

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gitas-games

October 6, 2020 – October 6, 2020

Gita'sgame

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building_playground

February 17, 2019 – February 20, 2019

The aim eventually is to optimize buildings in EnergyPlus format

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generative_playground

June 13, 2018 – July 6, 2023

A collection of pytorch models and calibration types for generating discrete objects: equations, molecules, etc

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transformer_pytorch

June 13, 2018 – December 27, 2018

The Attention is All you Need encoder/decoder, adapted to different tasks

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grammarVAE_pytorch

March 6, 2018 – July 13, 2018

A complete pytorch port of mkusner/grammarVAE

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basic_pytorch

December 11, 2017 – June 8, 2018

Some simple demos/wrappers showing how to make things work in pytorch

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talks

May 5, 2017 – May 8, 2017

talks — Dev.to repository

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rxpy-extensions

October 27, 2016 – December 8, 2016

A couple of extra functions for the RxPY framework

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Key Strengths

Extensive personal projects demonstrating practical application of Python and Jupyter Notebook for data science and machine learning tasks.
Experience with PyTorch for building and adapting transformer models and VAEs, indicating a strong foundation in deep learning frameworks.
Focus on causal inference (causaltune) and semantic layers (slayer) aligns well with advanced data science research and application.
Current role as a Data Scientist at Dagon Analytics Ltd, though without detailed responsibilities, suggests professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical projects.

Egor Kraev

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit