Position: Staff/Lead Data Scientist
Category: Data Science
English level: fluent
Years of experience: 6

- Implemented a highly accurate predictive system for user targeting and segmentation (the system have been achieving all the financial goals for two years)

- Created data-product development standards and procedures that optimized product development time by 3 to 4 times and increased efficiency of ML models by up to 20 times.

- Managed to streamline the workflow at my department by automating over 20 data pipelines using the Apache Airflow system.

- Created a semantic analysis project classifying users' problems into different categories via NLP methods (86% f1-weighted score with 10 classes)

- Built over 20 data products and machine learning models using technologies, like:
Databases: Postgres, Oracle, Clickhouse, Mongo.
ML Models: classification and regression models of scikit-learn, XGboost, LightGBM, Catboost, H20.
API: Flask
Automatization: Docker and Apache Airflow.
Currently leading and managing Data Science department, where my responsibilities include product planning and development, close collaboration with business teams as well as managing and orienting a team of 4 data scientists.

Previously have implemented a variety of successful projects, such as:

- building a highly accurate predictive system for user targeting and segmentation;
- automating over 20 data pipelines using the Apache Airflow system;
- creating a semantic analysis project classifying users' problems to different categories via NLP methods;

Besides mentioned projects, have ample experience with such predictive systems as interest, income, profession, Sim card hierarchy, churn, age, gender and upsell predictions as well as data products like scoring for banks, geo-products (home-work and weekday-weekend geolocation) and look-a-like models for different services.

Some of my other notable projects include developing data-product development standards and procedures that optimized product development time by 300% and increased the efficiency of ML models in my department by up to 20 times.

Currently am looking for a Staff/Lead Data Scientist position with riveting and challenging tasks, where I'll be able to both share and use my experience as well as learn something new for myself.
A work environment that encourages professional growth and would enable me to build new skills in my field. In particular, I would be interested in trying projects from the fields of Computer Vision and Reinforcement Learning.