Position: Machine Learning Engineer | MLOps
Category: Data Science
English level: intermediate
Years of experience: 2.5

- Microsoft Certified: Azure Data Scientist Associate
- Winner of "Hackathon Expert (2022)". We have solved computer vision problem from Global Logic. As the result, we provide unsupervised segmentation of video of some technological process and build granulometry distribution histogram, based on the resulting segmentation mask.
- I have successfully completed many courses at Coursera in the field of Machine Learning
- Have graduated from Deep Learning Creator School from AI House (developing DL models for content generation)
- Have graduated from BigData School 4.0 from Kyivstar (big data, data pipelines, developing ML model)
Machine Learning Engineer (06.2021-present)
- have an experience in developing ML pipelines in cloud (Azure stack)
- develop traffic forecasting model using ML algorithms and Graph Neural Networks
- build antifraud and scoring models using ML-algorithms
- build a model to find the optimal location for store opening
- develop custom tools for process automation (custom automl, data quality monitoring)
- work with a huge amount of data (structured and unstructured)

Big Data Analyst (02.2020-06.2021)
- write Ad-hoc queries using Python, Hive, PySpark, and other big data tools and frameworks
- build look-alike models using ML-algorithms
- develop a system for monitoring data quality
- develop "silver" and "gold" data sources

Pet-projects:
- emotion-swap-project
The main idea of this project is to create web-application for swapping emotion on target image using emotion-vector. For developing I have used FOMM, Clip, StyleGAN and custom Emotion Recognition NN.
- bert-ner-ua
Goal of the project is to improve accuracy of NER in Ukrainian-language texts using SOTA approaches in NLP.
- Now, I'm developing my skills in MLOps and Data Engineering fields. It would help me to write efficient code and cover the full lifecycle of ML project. I want to apply these skills at my new job.
- Availability of Deep Learning projects or projects with a lot of different data would be a plus :)
- Especially I'm interesting in Computer Vision projects