Контактная информация

Соискатель указал телефон и эл. почту.

Получить контакты этого кандидата можно на странице https://www.work.ua/resumes/19213899/

Опыт работы

Тренер програмування

с 03.2025 по наст. время (1 год 5 месяцев)
Coding Giants, Дистанційно (Освіта, наука)

• Delivered programming courses for children and teenagers, covering Python, ML/AI fundamentals, C++, C#, HTML, and Scratch.
• Designed and adapted educational materials to different skill levels, improving student engagement and comprehension.

Стажер IT-відділу / IT Department Intern

с 06.2023 по 08.2023 (3 месяца)
Pepco (IT)

Образование

The Adam Mickiewicz Universit

Математики та інформатики, Познань
Высшее, с 2024 по 2026 (2 года)

Знания и навыки

• MS Power BI
• TensorFlow
• Machine learning
• Flask
• pandas
• C#
• Python Requests
• NumPy
• GitHub
• Багатозадачність
• Відповідальність
• Гнучкість розуму
• Креативність
• Знання офісних програм
• Знання принципів ООП
• Python
• C++
• HTML
• CSS
• MongoDB
• PostgreSQL
• Tableau
• MS Excel
• Google Sheets
• SQL
• Адаптивність
• Git
• Ведення документації
• PyTorch
• PyTest
• OpenCV
• Scikit-learn
• Docker
• REST API
• Jira
• Unit testing

Знание языков

Английский — выше среднего

Дополнительная информация

Ptojects

• Statistical analysis of the impact of the introduction of the "Safe Credit 2%" program on apartment prices in Poland with Python
o Project aimed to show how the government’s “Safe Credit 2%” programme has affected housing prices in Poland.
o The analysis used data on housing prices from 2010 to 2022 in the 5 largest cities of Poland, taken from the GUS website, as well as data for 2023 on housing prices from Kaggle.
o Research used multiple regression analysis and repeated measures analysis.


• World Food Price Overview with Power BI
o Data come from WFP and include data from 01.2015 to 05.2026 (more than 3,6 milion records).
o Modelled Dim and Fact tables into star scheme
o Prepared comprehensive interactive dashboards to visualize global pricing trends.


• Grocery Store Sales Report with Power BI
o Imported raw Kaggle dataset into MS SQL Server and normalized a flat file into a four-table relational database (Stores, Products, Customers, Sales).
o Designed a Star Schema data warehouse and developed automated SSIS ETL packages for data cleansing, mapping, and loading.
o Handled missing values using advanced JOINs and corrected financial anomalies (e.g., negative final amounts) to ensure reporting accuracy.
o Built interactive Power BI dashboards with DAX measures and Decomposition Trees, created Excel Power Pivot tables, and designed paginated PDF reports using MS Report Builder.


• Movie analysis with Tableau
o Designed data visualizations to extract insights from extensive entertainment datasets.