Malik Gazizullin
Data-Sientist, Maсhine Learning Engineer and Computer Vision Engineer
Interactive resume
About me
Experienced, conscientious, result-oriented Data Scientist, ML/CV engineer working with various models, frameworks, libraries, and machine learning tools.

I have worked at three large international IT companies and have achieved significant results in each. In a short time, I eliminated weaknesses in the product, so that the company's losses reduced by 8-10%. I have researched NAS (neural architecture search) methods, created neural network models for image recognition, added the necessary components to the libraries, increased the quality of existing models and much more. All this have led to an increase in the company's profits, optimization of system operation workflow, and improved the comfort of employees and customers.

I am steadfast in my belief that a clear sense of purpose, a unified team dynamic, and a persistent drive for self-improvement are key factors in achieving the established objectives.



Name: Malik R. Gazizullin
Age: 24 years
Location: Yerevan, Armenia
(relocation possible)
Languages: English, Russian,
Tatar, German
MIPT (top 300 universities in the world)

Education

Master's and Bachelor's degrees in Applied Mathematics and Computer Science
YSDA (Yandex School of Data Analysis)
Machine learning developer: Computer Vision, Reinforcement Learning, Natural Language Processing
Coursera

Structure search in data, training on marked-up data, mathematics and python for data analysis
2 years
2 years
6 years
VK Group

Careers

Data Scientist, I create models to detect and eliminate unwanted and prohibited content, improve the quality of existing models for image recognition, gif images, logos; I develop classification models, make rules for experts (moderators), train neural network models. The models I improved showed a 20-30% increase in efficiency.
Yandex (Netherlands)


Data Scientist, was responsible for the main conversion prediction models, have added the necessary components to the libraries, which are used to this day and simplify interaction between different development teams; improved the quality of the main user conversion prediction model by 13%, which led to a significant increase in the company's profit.
ABBYY (USA)
Junior Data Scientist, I researched methods of neural network architecture selection (NAS), improved quality indicators in the main QR codes detector several times. Optimized the speed of the recognizer by 8%. Created a neural network model for image recognition based only on convolutional layers, and improved the service performance by 10%. Together with the team, I found and eliminated weaknesses in the detection model.
ABBYY (USA)

Intern Data Scientist, I researched neural architecture search methods to improve the quality of image recognition. I have improved the current detection model, increased the accuracy and F1 of the SOTA model, as a result of which I was promoted to the position of Junior Data Scientist.
current place of work
my skills

programming languages

Python
technology


specialization

Java
C++
Scala
Golang
Pytorch
Spark
Albumentations
Pandas
NumPy
SQL
Keras
Data Science
Computer Vision
Natural Language Processing (NLP)
Discrete Math
Statistics
Algorithms
Data Structures
Concurrent Computing
Contact
Phone/ WhatsApp
Mail
Social Network
+7(964)-574-61-75
https://www.linkedin.com/in/malik-gazizullin-045867b9/
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