Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 1.5


Sep-2022 - Dec-2022 - EPAM Systems
EPAM Project Description: AIOps Initiative
Project Role: Developer
Responsibilities: 
•	Manually created dashboards for application monitoring
•	Worked on automation of dashboards creation
•	Enhanced and used Python scripts to create alerts via API
•	Collaborated on creating parsing scripts using Python and regular expressions
Tools and Technologies: 
-	NewRelic (UI & API) 
-	Python 
-	Jira

Jun-2022 - Aug-2022 - EPAM Systems
EPAM Project Description: Non-Prod project
The idea was to create ML model that would recognize Russian propaganda
Project Role: Developer
Responsibilities: 
•	Used Docker to deploy Splunk
•	Worked with a teammate on cleaning and preparing data from posts and replies which he scraped data from VK that related to war
•	Ingested data into Splunk
•	Created detailed data analysis reports
•	Explored Splunk ML Toolkit, Splunk NLP Text Analytics 
•	Explored various NLP and ML algorithms, test pre-processing techniques, best practices
Tools and Technologies: 
- Splunk and its apps
- Python and libraries for ML and NLP
- Docker

Feb-2022 - May-2022 - EPAM Systems
EPAM Project Description: Short-term MVP
Project Role: Developer
Team Size: 3 Software Engineers
Project Management: Scrum
Responsibilities: 
•	Developed dashboards and alerts for monitoring
•	Performed log onboarding and parsing, creating sourcetypes
•	Took part in troubleshooting and configuration changes
Tools and Technologies: Splunk DBConnect and other Splunk apps, Splunk

Oct-2021 - Jan-2022 - EPAM Systems
Project Description: Pre-Prod EPAM DE Lab Project - ETL 
The goal was to automate the ELT process from AWS RDS into Snowflake and build reports in Tableau
Project Role: Data Engineer
Team Size: 5 students
Project Management: Scrum
Responsibilities: 
•	Modelled star schema for DWH with SCD
•	Created automated data flow from AWS S3 (data was in CSV files) to DWH in Snowflake (star schema). Loaded data using Snowpipe and transformed it with the help of streams, tasks, stored procedures, and transactions
•	Collaborated with teammates on creating reports in Tableau and writing script Python
Tools and Technologies: 
- AWS (RDS, S3) 
- Snowflake  
- Tableau 
- Jira
- SQL 
- Python 
- DWH, star schema 
- Scrum
- Github

2019-2023 - student at the Ivan Franko National University of Lviv, Faculty of Applied Mathematics and Informatics, 
System Analysis