Position: Junior Data Engineer/Scientist
Category: Data Science
English level: fluent
Years of experience: 1

Computer Vision Trainee (1-month internship) 02.2021
Developed a module for detection of the floor in indoor pictures taken with iPhone XII (Python, OpenCV, ML)

Analytical public project 07.2020
Analysis on spatial planning documentation in Ukraine - ArcGIS (web app accompanied by Article  with 11 000+ reads 'New territorial administrative division is approaching – some thoughts about the situation in the field of spatial planning in Ukraine') 

 Kaggle educational competitions (as of 10.2020):
- House Prices: Advanced Regression Techniques - in the Top 31%
- CIFAR-10 - Object Recognition in Images - in the Top 23%
- Plant Seedlings Classification - in the Top 54%
- Titanic: Machine Learning from Disaster - in the Top 26%
Computer Vision Trainee (1-month internship) 02.2021
 Project for detection of the floor in the indoor pictures taken with iPhone XII (Lidar, Python, OpenCV, ML, NN)

Data Science Trainee (Apprenticeship) 08.2020 – 12.2020
DataRoot Labs Kyiv, Ukraine
 Machine Learning module and API for data preprocessing and prediction for the Kaggle's competition 'House Prices: Advanced Regression Techniques' (Python, Flask).
Docker image for the project – svparhom/mlapi
 RESTful API for handling GET, POST, PUT, DELETE requests to a database (Python, Flask, PostgreSQL).
Docker image for the project – svparhom/apifour.
 Kaggle educational competitions:
- House Prices: Advanced Regression Techniques - in the Top 31%
- CIFAR-10 - Object Recognition in Images - in the Top 23%
- Plant Seedlings Classification - in the Top 54%
- Titanic: Machine Learning from Disaster - in the Top 26%
 Supervised and Unsupervised ML algorithms from scratch (Python):
- Linear regression, Polynomial Regression, Logistic Regression, NBC, KNN, SVM, Neural Network;
- K-means, PCA;
 Snake Game with pure Python in the Gym environment.

Project Manager 06.2018 – 10.2020
Deutsche Gesellschaft für Internationale Kyiv, Ukraine
Zusammenarbeit (GIZ)
U-LEAD Programme „Support to the decentralisation reform in Ukraine“
 Coordinated national and international implementing partners in the full cycle of the projects related to spatial planning/public infrastructure topics of national scale of total value more than 1 000 000 EUR and durations more than 1 year. Participated in the development of new projects.
 Led a remote team of 5 external experts.
 Initiated, developed, and maintained a data management system for the Programme’s projects monitoring.

Assistant of Architect 05.2017 – 05.2018
Architectural Bureau Smolakowski Wroclaw, Poland

Assistant researcher (Erasmus+ traineeship) 10.2016 - 04.2017
European Urban Research Association (EURA) Dortmund, Germany

Urban Planner Intern 11.2015 - 02.2016
GIPP Porto, Portugal