Work Experience
Data Scientist, Market analytics
Duration: June 2019 - present
Summary:
- Researched and implemented log-normal regression for sales analysis
- Researched impact of users behaviour on the product sales using RandomForestRegressor and XGBoost Regressor
Responsibilities: Data analysis, model implementation and testing.
Technologies: Python, Pandas, sklearn, XGBoost, Plotly
Data Scientist, Jewelry classification project
Duration: June 2019 - present
Summary:
- Performed discovery phase and developed roadmap planning
- Led the AI team to build data preparation, classification model training and testing pipelines
- Experimented with several computer vision frameworks and architectures
- Deployed the solution consisted of several classifiers to a REST API web-server
Responsibilities: Team leadership, data pipeline construction, model training and deployment.
Technologies: Python, AWS, Ultralytics YOLO, PyTorch Vision, HuggingFace ViT, FastAPI, PostgreSQL, pandas, OpenCV
Data Scientist, Video Content Moderation system
Duration: June 2019 - present
Summary:
- Researched content moderation services and video classification models
- Deployed a solution that uses AWS Rekognition services with custom processing and job management as API
Responsibilities: Research and solution deployment.
Technologies: Python, AWS, Rekognition, FastAPI, Redis
Data Scientist, Object detection in sports games stream
Duration: June 2019 - present
Summary:
- Developed an object detection model of football elements
- Researched and implemented custom algorithms for object tracking in stream
- Developed a model training pipeline including data augmentation techniques
- Deployed solution to serving service using RESTful architecture
Responsibilities: Model development, algorithm implementation and solution deployment.
Technologies: Python, OpenCV, YOLO, FastAPI
Data Scientist, E-commerce Monitoring & Intelligence Platform
Duration: June 2019 - present
Summary:
- Collected data provided by customers
- Cleaned and prepared the data for further use
- Aggregated and estimated the sales data
- Developed the visualization on the basis of which the client received the data they needed
Responsibilities: Data collection, cleaning, aggregation and visualization.
Technologies: Python, Pandas, Plotly, Numpy, XGBoost, MySQL, ClickHouse
Data Scientist, Regulation-checking system in construction
Duration: June 2019 - present
Summary:
- Researched and implemented image processing pipeline using OpenCV (thresholding, histogram equalization, etc).
- Researched and implemented object detection of construction elements
- Researched semantic segmentation of construction environment
- Researched pose estimation of construction environment
- Deployed solution that detects noncompliance of partial OSHA regulation to web-server
Technologies: Python, OpenCV, YOLOv5, U-NET, FastAPI, MediaPipe
Data Scientist, Data analysis from VR sensors
Duration: June 2019 - present
Summary:
- Researched and implemented statistical analysis of sensor data
- Performed architecture migration from monolithic-data processing to chunk processing from queue
Responsibilities: Statistical analysis and architecture migration.
Technologies: Python, Numpy, Plotly, signal filtering and processing algorithms, RabbitMQ
Data Scientist, Geo Railroad Analytical System
Duration: June 2019 - present
Summary:
- Implemented railroad data analysis and an ETL pipeline for data transformation
- Developed a railroad network graph system for best track path detection and incomplete tracks recreation
Technologies: Python, Pandas, Numpy, networkx
Data Scientist, Dance club project
Duration: June 2019 - present
Summary:
- Developed web-server with admin panel
- Implemented analytical dashboards and report generation
- Developed mobile application for instructors use
Technologies: Python, Flask, Pandas, Plotly, Kotlin, OkHTTP, navigation architecture
Data Scientist, Users behaviour analysis
Duration: June 2019 - present
Summary:
- Developed and implemented users classification and prediction VIP system based on their behaviour using XGBoost Classifier
- Deployed solution as an API
Technologies: Python, XGBoost, Flask, PostgreSQL, alembic, Pandas
Education
- Master of Computer Science
Ternopil State Ivan Puluj Technical University, Ternopil, Ukraine
2021 - 2023 - Exchange Student, Bachelor of Computer Science
Hochschule Schmalkalden, Schmalkalden, Thüringen, Germany
2020 - 2021 - Bachelor of Computer Science
Ternopil State Ivan Puluj Technical University, Ternopil, Ukraine
2019 - 2021 - Junior Specialist of Computer Engineering
Technical college of Ternopil State Ivan Puluj Technical University, Ternopil, Ukraine
2015 - 2019
Certification
- Google Cloud Skill Boost
Google Credential URL - Data Science Camp Smart Insight
Amazinum Credential URL - Python Programmer Track
DataCamp Credential URL
Upstaffer since March, 2024
