Senior manager, project manager
LLC LUKOIL LUBRICANT COMPANY
Keywords
Data Analysis
Power BI
Analytic Applications
Databases
Data Mining
Python (Programming Language)
Machine Learning
NumPy
SciPy
SQL Databases
Portfolio
Skills
Analytical tools, Data analyst, data analytics tools, data extraction, data processing, Maintaining a database, machine learning, matplotlib, Excel, numpy, pandas, plotly, Power BI, PowerBI, Python, SQL, scipy, Tableau
Project history
01/2018
-
12/2023
Development of lubricant oils for industrial equipment and
auto
* Analysis of the lubricant oils market, analysis of promising
areas of development
* Maintaining a database with the composition and
properties of products, analysis of necessary adjustments
to improve product quality
* Negotiations with technology suppliers
* Preparation of project plans;
auto
* Analysis of the lubricant oils market, analysis of promising
areas of development
* Maintaining a database with the composition and
properties of products, analysis of necessary adjustments
to improve product quality
* Negotiations with technology suppliers
* Preparation of project plans;
12/2022
-
06/2023
Data analyst
Yandex Practicum
* Advanced Python learning for data processing, analysis
and visualization
* Advanced study of data analytics tools: working with
pandas, numpy, Tableau, Power BI
* Confident command of SQL for writing queries for the
purpose of data extraction and analysis
* Basic study of machine learning methods
* Learning statistical analysis in Python
Python (pandas, matplotlib, seaborn, plotly, numpy, scipy),
SQL, Excel
Visualization Python (matplotlib, seaborn, plotly), Tableau, PowerBI
Machine learning Python (Pycaret, sklearn)
and visualization
* Advanced study of data analytics tools: working with
pandas, numpy, Tableau, Power BI
* Confident command of SQL for writing queries for the
purpose of data extraction and analysis
* Basic study of machine learning methods
* Learning statistical analysis in Python
Python (pandas, matplotlib, seaborn, plotly, numpy, scipy),
SQL, Excel
Visualization Python (matplotlib, seaborn, plotly), Tableau, PowerBI
Machine learning Python (Pycaret, sklearn)
Certifications
Data analysis in Excel
DataCamp
2024
Data structures and algorithms in Python
DataCamp
2023
Introduction to PowerBI
DataCamp
2023
Analyzing customer churn in PowerBI
DataCamp
2023
Data analyst in SQL
DataCamp
2023
Data preparation in Excel
DataCamp
2023
Data analytics consulting virtual internship in KPMG
KPMG
2023
Python Generation ”: advanced course
Stepik
2023
Local Availability
Open to travel worldwide
Other
Over the past 5 years, I have been developing new products and engaging in improving the company's current portfolio, searching for new solutions to expand the range. As a developer, I analyzed the results of my work on a daily basis and based on this, I was looking for ways to improve my solutions. As a project manager, my field of activity also included project planning, organization of all processes at each stage of development.
To begin my journey with data analysis, I have studied at Yandex Practicum for 7 months, where I mastered various tools for data analysis and visualization: Excel, Python, SQL, pandas, matplotlib, seaborn, plotly, numpy libraries, building dashboards in tableau. In my projects, I try to look into the essence of the data most deeply, to search for non-obvious patterns. In the process of learning, I am always looking for new solutions, outside the framework of the training program, which is why, along with Yandex Practicum, I was trained at the Stepik, DataCamp courses.
My portfolio includes projects of various types, such as research of real estate markets in St. Petersburg and catering in Moscow, evaluation of product indicators (mobile applications), hypothesis testing (mobile applications, telecom operators). I also completed an online KPMG internship in Data Analytics. Currently, I am looking for opportunities to apply my knowledge gained both in work and in the learning process in new areas.
