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Регистрация: 09.01.2024

Andrey Rysin

Специализация: Data Scientist / ML Engineer
I am a Middle Data Scientist / ML Engineer looking for new career opportunities. I'm most experienced in Time Series Analysis and Computer Vision.
I am a Middle Data Scientist / ML Engineer looking for new career opportunities. I'm most experienced in Time Series Analysis and Computer Vision.

Портфолио

Trading Company

Developing high-frequency trading strategies. - Developed the feature extraction and feature selection pipeline.

Neurus

Developing CV models for production and research uses in various fields - face recognition, image classification, image generation, and character recognition. Developing and maintaining auxiliary software for data collecting and model performance monitoring. - Improved face recognition accuracy from ~94% to 99% by altering the embeddings postprocessing and by using the SOTA embeddings handling framework. - Improved user experience by accelerating SQL procedures during face recognition (the delay became imperceptible for a user). - Implemented automatic collecting of a dataset using the Telegram bot.

Market Research

It is entirely my project I develop myself. By the link, there is only a demo version since I cannot disclose the original project (10k+ lines of code). The demo version contains an exhaustive description, and I am glad to discuss the project, its ideas and solutions, and answer your questions!

Скиллы

Python
PyTorch
Deep Learning
Machine Learning
Time Series Analysis
Computer Vision
SQL
Git
Docker
Linux
OOP

Опыт работы

Quantitative Researcher
с 11.2022 - По настоящий момент |Market Research
PyTorch, LightGBM, Python, Git
This is the project I am developing myself. Developing Data pipelines (feature extraction, feature selection). Developing DL models (designing, training, validation). Developing trading strategies. - Developed a flexible research framework which facilitates conducting experiments on data and models. - Accelerated computing correlation by 4 orders. - Gained basic market predictability which is not a common pitfall and seems to be real.
Computer Vision Engineer
с 09.2021 - По настоящий момент |Neurus
PyTorch, Python, SQL, Git, Docker
Developing CV models for production and research uses in various fields - face recognition, image classification, image generation, and character recognition. Developing and maintaining auxiliary software for data collecting and model performance monitoring. - Improved face recognition accuracy from ~94% to 99% by altering the embeddings postprocessing and by using the SOTA embeddings handling framework. - Improved user experience by accelerating SQL procedures during face recognition (the delay became imperceptible for a user). - Implemented automatic collecting of a dataset using the Telegram bot.
Quantitative Researcher
01.2021 - 02.2021 |Trading Company
LightGBM, Python, Git
Developing high-frequency trading strategies. - Developed the feature extraction and feature selection pipeline.

Образование

Economics with Honours
2008 - 2012
Volgograd State Technical University
Engineering with Honours
2005 - 2010
Volgograd State Technical University

Языки

РусскийРоднойАнглийскийВыше среднего