Position: Data scientist
Category: Python
Experience: 7 years | English: fluent

- AI For Everyone
 Coursera
- Introduction to Machine Learning
  Coursera (Yandex)
- Applied data analysis tasks
  Coursera (Yandex)
- Drawing conclusions from data
  Coursera (Yandex)
- Search for structure in data
  Coursera (Yandex)
- Markup Training
  Coursera (Yandex)
- Deep Learning Specialization
  Coursera (Stanford)
-Сonsists of 5 courses:
	1) Neural Networks and Deep Learning
	2) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
	3) Structuring Machine Learning Projects
	4) Convolutional Neural Networks
	5) Sequence Models
- Big Data School 2.0
  Kyivstar
- Math and Python for Data Analysis
  Coursera (Yandex)
- Neural Networks for Machine Learning
  Coursera (University of Toronto )  
- Data Science and Machine Learning
  DataRoot Labs
- Machine Learning
  Coursera (Stanford)
 - IELTS 6.5
Research publication:
 Construction of scoring models to assess the solvency of telecommunications operator's customers 
 Models for credit risk assessment 
 Fuzzy Methods in the Problem of Cognitive Modeling 

Giving lectures:
 How to Find the Shortest Path Using Algorithms Dejkstra, A*, HPA*, Theta*, LazyTheta*, ANYA
Work experience:

05/2021 – present
Position - Lead Data Scientist
Company - Grid Dynamics
Responsibilities: 
     Taking a part in pre-sales companies for Grid Dynamics
     Building a complaint prediction model for PayPal. 
     Churn detection for PayPal
     Leading a team of 3 Data Scientist, 1 Python Developer, 1 DevOps
     Traffic forecasting for stores in UK 

12/2020 – 09/2021 
Position - Senior Data Scientist
Company - Grid Dynamics
Technologies: Python, Computer Vision, Recommendation systems 
Responsibilities: 
   Taking a part in pre-sales companies for Grid Dynamics
   Creating a video-processing system for detecting percentage of gender, races, e.t.c in videos.
   Ranking system on website 

12/2020 – present
Position - Data Science Consultant
Company -Post Data
Responsibilities: 
   Consulting companies for ability to use Machine Learning technics to improve quality of their businesses 
   Building a POC, MVP for startups  
   Building delivery system for clients. Resolve Vehicle Routing Problem with different business restrictions  for the client 
   Building 3D reconstruction system for creating  3D model of the building based on subset of photos of this building

02/2019 – 12/2020
Position - Data Scientist
Company - Ninety Percent of Everything (Ciklum)
Technologies: Python, Git, Flask, PostgreSQL, Docker, Databricks
Responsibilities: 
   Creating system for crew optimization  using information about persons experience, ticket prices and vessels requirements   
   Creating  pathfinding system for vessels using information about weather, distances, bathymetrical data e.t.с. Implementing from scratch A*, Post Smoothing, HPA*, 
BasicTheta*, LazyTheta* for spherical geometry
   Calculating force with which water acts on a vessel depends from sensor indicators 
   Prediction of fuel consumption on a ship
   Build envelopes for finding most popular vessels trajectories

09/2017 – 02/2019
Position - Data Scientist
Company - Kyivstar
Technologies: Python, PL/SQL, R (Shiny) , Hive
Responsibilities:
   Create scoring systems
   Find lookalike audiences for customer (PU-learning)
   B2B clients resegmentation
   Antifraud systems for bank
   Development of models for finding new customers and upsell existing users for mobile TV service from Kyivstar
   Building heatmaps for setting up new outlets, 
   Prediction client revenue 
   Deleting personal information from dialogs (Name Entity Recognition task)
   Creating a customer portrait for specific
Just remote work