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followers: 4.0 following: 37.0 repos: 37.0 gists: 0.0

Name: Azat Sibagatulin

Type: User

Bio: Machine Learning Engineer | ITMO University

Location: Saint-Petersburg

Hi there 👋

💭 I'm a Data Scientist with 2 year experience in NLP, RecSys, Classical ML and Time Series. I am passionate and enthusiastic about ML, Data Engineering, Data Analysis and Backend development.

📕 My Skill Set:

General DS: Python, Pandas, NumPy, Scikit-Learn.
A/B: SciPy, StatsModels.
Neural Networks: PyTorch.
Data Visualization: Matplotlib, Seaborn, Plotly.
NLP: LLM, LangChain, Natasha, Gensim, Transformers, HuggingFace.
RecSys: Rectools, RecBole, Microsoft Recommenders.
Time Series: sktime, Prophet.
CV: Yolo, Segment Anything.
MLOps: Linux, Git, Docker, FastAPI, Docker-compose, Kubernetes, CI/CD.
Other: SQL, PySpark, Hadoop, REST API, Swagger.

📗 Now I'm:

🔭 I’m currently working on developing LLM platform for an oil company.
🌱 I’m currently learning Golang.

📫 How to reach me: tg@azat_nv or Linkedin@azat-sibagatulin

Azat Sibagatulin's Projects

algorithms-2018

Course: algorithms and data structures (year 2018)

android-lectures

applied_statistics

avito-useg

azatnv

azatnv.github.io

Demo

bigdata-docker-compose

Docker с последним хадупом и сопутствующими инструментами на борту

cgraph

chatgpt-hackathon

Product for vk posts summarization

ci-datasets

Continuous integration testing dataset

compling_nlp_hse_course

Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ

deep-learning-module

Car plate recognition

deep_vision_and_graphics

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

dl-module-nlp

Company duplicate search

efficient-dl-systems

Efficient Deep Learning Systems course materials (HSE, YSDA)

finddir

console

fromkotlintojava

ganhacks

starter from "How to Train a GAN?" at NIPS2016

itmo_ab_2023_autumn_homeworks

junior-ml-contest-itmo

project for the Junior ML Contest

kotlinasfirst2017

latex-styles

LaTeX styles for different purposes.

levart-mvp

building personalized routes

ml-course

Open Machine Learning course

numpy-100

100 numpy exercises (with solutions)

polinom

postgresql-docker-hw-11

practical_dl

DL course co-developed by YSDA, HSE and Skoltech

practicedb

programming-massively-parallel-processors

Solution of Programming Massively Parallel Processors

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