Position: Senior Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 7

- Built a recommendation system that allowed Ukrainians to receive jobs in Europe during the war
- Built a personalized recommender engine that increased view-to-click conversion by 17% relatively
- From scratch designed and developed service for building, storage, and retrieval of image representations for over 400k products from 112 categories.
- Graduated 140+ students from courses in data analysis? data science, programming in Python
Full-Stack ML Engineer with hands-on experience building end-to-end ML-based solutions, including all standard parts of ones: 
- preliminary requirements gathering, communication with engineering and business teams
- solution design: how ML system will be integrated into the existing product
- creating pipelines which process data from different sources and of different modalities (tabular, visual, natural language)
- deployment of ML models (Docker, k8s, AWS Sagemaker, GCP) 
- model and data version control
- data visualization, and creation of automated reporting involving predictive modeling
- creating UI (streamlit lib) to demonstrate model's abilities

Have hands-on experience with: 
- ML (time series prediction, classification, and regression on multi-modular data, anomaly detection)
- building recommender engines from scratch to production (including deployement and analysis of AB tests)
- NLP (text classification, topic modeling, keywords extraction, translation, huggingface models usage)
- CV (detection, segmentation, classification, anomaly detection, image search)
- visualization (Python/Tableau, including complex visualizations like dimensionality reduction and Sankey diagram)

Moreover: a lot of various mentoring and consulting experience, taught over 140 students data science and programming with Python, leaded data science in a non-profit project
Interested in being either a Senior-level ML project contributor or a hands-on lead of a team of engineers working on an end-to-end ML project aimed to predict customer behavior (demand/LTV/churn prediction), build recommendations, create user-to-item matching, etc.