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Ivan
Data analyst
- Considering positions:
- Data analyst, Бізнес-аналітик, Трейд-маркетинг менеджер
- City of residence:
- Lviv
- Ready to work:
- Remote
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Name: Ivan Maksym
Email: [open contact info ](look above in the "contact info" section)
Applying for: data analyst position
Skills:
- Python
- Pandas
- Matplotlib
- SQL
- PowerBI
- B1 Level of English
- MS Excel
- Google Sheets
- Good communicational skills
- Teamwork and leadership
- Quick learning
Education:
- City of Liverpool College
- Distinction at Software Development Course
- Krasnograd lyceum N2
- Algebra 11, Informatics 11
Projects:
During my college studies I developed a bespoken software which was reading the CSV file
and plotting graphs which were allowing the workers to spot data patterns from the data
provided by the company which ordered to build the software. Python programming
language was used in order to build robust and easy to understand User Interfaces.
Furthermore, the pandas library was used in order to extract separate columns and unite
them in order to build new datasets to prepare data for plotting them on the graph. Also,
aggregate tools such as max, min etc. were used in order to find trends and patterns from
the provided data. The matplotlib library was used to plot the graphs.
Technologies used:
Python, Matplotlib, Pandas
Email: [
Applying for: data analyst position
Skills:
- Python
- Pandas
- Matplotlib
- SQL
- PowerBI
- B1 Level of English
- MS Excel
- Google Sheets
- Good communicational skills
- Teamwork and leadership
- Quick learning
Education:
- City of Liverpool College
- Distinction at Software Development Course
- Krasnograd lyceum N2
- Algebra 11, Informatics 11
Projects:
During my college studies I developed a bespoken software which was reading the CSV file
and plotting graphs which were allowing the workers to spot data patterns from the data
provided by the company which ordered to build the software. Python programming
language was used in order to build robust and easy to understand User Interfaces.
Furthermore, the pandas library was used in order to extract separate columns and unite
them in order to build new datasets to prepare data for plotting them on the graph. Also,
aggregate tools such as max, min etc. were used in order to find trends and patterns from
the provided data. The matplotlib library was used to plot the graphs.
Technologies used:
Python, Matplotlib, Pandas
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The candidate's resume is posted at https://www.work.ua/resumes/18609162/