Experience level:
Education level:
Languages:
Russian - native
English - B2
ata analyst with experience in data processing, analysis, and creating dashboards and reports.
Proficient in SQL, Python, Excel, Power BI, and data visualization tools. In Excel, I use functions such as pivot tables, VLOOKUP, and INDEX. In Python, I work with Pandas, NumPy, Matplotlib, Seaborn, and apply loops, conditions, functions, and classes. Experienced in exploratory data analysis (EDA) and building machine learning models. At my last job, I automated the data processing workflow after downloading purchasing analytics from trading platforms: merged files, fixed errors, checked dates, and created pivot tables and visualizations using MS Power Query.
Currently enhancing my skills in Data Science.
Personal qualities:
Analytical mindset
Attention to detail
Problem-solving skills
Self-organization and time management
Ability to work independently and in a team
Focus on continuous learning and development
Hobbies:
Traveling
Reading
Technology and gadgets
JSC “Russian Post”
Analyst in the Procurement Department
Responsibilities:
– Conducted comprehensive data analysis using SQL and Python to identify key trends and optimize business processes.
– Systematized and processed large data sets, leveraging Power BI and Excel to create detailed analytical reports.
– Developed reports and visualizations with MS Query and MS PowerPoint, enhancing data-driven decision-making processes.
– Forecasted key performance indicators using data analytics, providing actionable insights and recommendations for management.
– Automated processes using SQL and Python, significantly enhancing operational efficiency and meeting key performance indicators (KPIs).
Achievements:
– Optimized the reporting process in 1C, reducing data processing time by 30% through process automation.
– Automated data extraction with custom SQL queries in Excel, reducing manual data handling efforts by 50%.
– Designed and implemented dashboards in Power BI for procurement activity monitoring, improving decision-making speed by 25%.
– Developed a Python script that optimized fuel costs, achieving a 20% reduction in expenses.
SC “EnergoRemont Plus” Head Office, Moscow
Analyst in the Procurement Department
Responsibilities:
– Analyzed data from SAP and Excel using ABC analysis and Power Query to optimize procurement processes and reduce surplus inventory.
– Managed and processed large data volumes for analytical reporting and strategic decision-making on procurement scaling.
– Created reports and data visualizations using SAP BI and MS PowerPoint, improving data presentation and accessibility for management.
– Automated analytical processes and established work standards, enhancing team productivity and reducing data processing time by 30%.
Achievements:
– Introduced SAP BI management reporting, increasing data accuracy and accessibility by 20%.
– Optimized warehouse processes, leading to a 15% reduction in storage costs through data-driven inventory management.
– Implemented a SAP-based plan/actual tracking system, improving procurement management efficiency and reducing deviations by 10%.
University name: Samara State Aerospace University named after Academician S.P. Korolev
Faculty: Faculty of Radio Engineering (или MIREA, если это корректно)
Specialisation: Engineer in Design and Technology of Radio-electronic Equipment
Graduation year: 2001
SQL, Python (pandas, numpy, matplotlib, seaborn, scikit-learn), Data Analysis, Data Science, ETL
MS Excel (Power Query, Pover Pivot), Machine Learning, Power BI, Mathematical Statistics