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Registration: 26.03.2026

Anastasia Kuznetsova

Specialization: Product Analyst / Data Analyst
— Aspiring Product Analyst with an engineering background and 2 years of experience in data analysis and process automation within project environments. — Experienced in SQL and Python (Pandas, NumPy, data visualization) for data exploration, hypothesis testing, and generating actionable insights. — Strong understanding of key product metrics (retention, conversion, LTV, CAC), A/B testing principles, and basic statistics. — Hands-on experience in data visualization and dashboard development (Excel, Power BI, Tableau). — Skilled in structuring data, building tracking systems, and identifying growth opportunities based on data. — Motivated to grow in product analytics and apply a data-driven approach to improve user experience and business performance.
— Aspiring Product Analyst with an engineering background and 2 years of experience in data analysis and process automation within project environments. — Experienced in SQL and Python (Pandas, NumPy, data visualization) for data exploration, hypothesis testing, and generating actionable insights. — Strong understanding of key product metrics (retention, conversion, LTV, CAC), A/B testing principles, and basic statistics. — Hands-on experience in data visualization and dashboard development (Excel, Power BI, Tableau). — Skilled in structuring data, building tracking systems, and identifying growth opportunities based on data. — Motivated to grow in product analytics and apply a data-driven approach to improve user experience and business performance.

Skills

SQL
Python
Excel (Power Query, VBA, Pivot Tables)
Power BI
Tableau

Work experience

Analyst / Engineer
05.2023 - 05.2025 |Nova Energies
Excel, VBA, Power BI, Power Point, AutoCAD, Staad PRO
● Developed an analytics and project tracking system: built dashboards in Power BI and Excel to monitor task status, deadlines, and key performance indicators. Improved transparency for management and enhanced deadline control, reducing decision-making time by 25%. ● Automated ETL processes using VBA: created macros for data cleaning, validation, and structuring. Reduced manual processing time by 40% and eliminated errors in data transfer between departments. ● Set up a data processing pipeline: integrated outputs from engineering models (STAAD Pro) into Excel-based analytics, automated input dataset preparation and validation. Improved data accuracy for project decision-making. ● Conducted data analysis and hypothesis testing: analyzed calculation results, identified anomalies and inconsistencies, and provided data-driven recommendations to the project team. ● Collaborated with stakeholders: gathered requirements from internal clients for analytics tools improvements, translated them into tasks, and presented insights and dashboards to management.
Engineer
05.2021 - 05.2023 |Mosgiprotrans
MS Excel, AutoCAD, Sofistik, Midas Civil, MS Office
● Developed and validated computational models of engineering structures, ensuring accuracy and compliance with technical requirements. ● Analyzed design solutions and technical specifications, prepared bills of quantities, and contributed to technical documentation. ● Ensured data consistency across project disciplines and maintained quality control of input data.
Engineer (Entry-level)
09.2019 - 04.2021 |Geo-Project
MS Excel, AutoCAD
● Contributed to the development of project documentation, processed inspection results, and prepared defect reports. ● Structured data for reporting purposes.

Educational background

Specialist’s Degree in Civil Engineering (Roads, Bridges & Tunnels) (Masters Degree)
2017 - 2022
Saint Petersburg State University of Architecture and Civil Engineering

Languages

EnglishProficientFrenchElementaryRussianNative