Іван

IVAN FILIPCHUK
Data Engineer
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація»)
[відкрити контакти](див. вище в блоці «контактна інформація») https://github.com/IvanFilipchuk
Cracow, Poland

About Me Experience
My name is Ivan Fililpchuk, a 21-year-old
Data Analyst 09.2022 - 02.2024
Master's student in Data Science at the
Cracow University of Technology. I am an PPH Lubmax Sp. z o.o. Lublin, Poland
ambitious and hardworking individual – Creating and maintaining data reports and dashboards
passionate about data and databases, turning – Collecting, processing, and analyzing data to identify trends
raw information into valuable insights. I enjoy – Managing and updating products, including adding new items
tackling complex challenges in data processing – Improving existing solutions according to company needs
and optimization. As a programmer, I am eager
to explore new career opportunities that will Milan Telecom
help me grow and contribute to innovative https://github.com/IvanFilipchuk/Milan_Telecom_AirFlow
projects
The aim of this project is to develop a scalable data pipeline for processing and
Skills analyzing telecom data. The pipeline automates data ingestion, transformation,
Python: Pandas, Matplotlib, NumPy, and aggregation to generate meaningful insights, ensuring efficient and structured
Scikit-learn, telebot data processing. The results are visualized through various analytical charts to
Java: Spring Boot provide deeper insights into telecom activity across different regions.
SQL – Python – PySpark
Apache Spark – Docker – Apache Airflow
Apache Kafka – SQL – Apache Superset
Apache Airflow
Apache Superset Database Performance
Power BI https://github.com/IvanFilipchuk/Database_Performance
Azure
This project evaluates the performance of different database systems by
Docker
Git benchmarking key operations such as insertion, selection, update, and deletion.
Jira The goal was to compare query execution time, data processing efficiency, and
Postman scalability across Couchbase, Redis, PostgreSQL, and MariaDB under various
UML workloads. The databases were containerized using Docker, and the performance
Microsoft Office 365 tests were executed in Java. The results were visualized through analytical charts

Languages to assess how each system handles different operations.
– Python – PostgresSQL
Polish: Upper intermediate – Java – MariaDB
– Docker – Couchbase
English: Upper intermediate
– SQL – Redis
Ukrainian: Native
Russian: Advanced Salary Prediction System

Strengths https://github.com/IvanFilipchuk/Salary_Prediction_System
A system for predicting and classifying salaries in Data Science, analyzing the
Quick learning ability impact of factors such as work experience, education, employment type, and
Problem-solving skills remote work level using supervised learning algorithms.
Teamwork – Python – Docker
Creativity – Random Forest Regressor – Dask
Stress resistance – Gradient Boosting Regressor
Ambition
Punctuality Education
Passions Cracow University of Technology 02.2024 - Present
Career growth & skill improvement Master's in Data Science Cracow, Poland
Computer games
Traveling and exploring new cultures Lublin University of Technology 10.2020 - 02.2024
Hiking and outdoor activities Bachelor's in Software Engineering Lublin, Poland

I hereby give consent for my personal data included in my application to be processed for the purposes of the recruitment process under the personal data
protection act as of 29 august 1997, consolidated text: journal of laws 2016, item 922 as amended.