Загруженный файл CV

PROFILE

Data Scientist with hands-on experience in building automated end-to-end data processing workflows, creating and maintaining predictive ML-models and communicating insights to technical and non-technical stakeholders. I strive for both accuracy and optimization in my work.

WORK EXPERIENCE

Al-Style Almaty, Kazakhstan (top 50 private company, Forbes Kazakhstan) July 2024 - Present

• Process and clean large datasets (several million rows), detect anomalies using exploratory data analysis
• Build and maintain ML predictive models in Python to support business decision-making (training, testing, optimization of hyper-parameters, monitoring in production)
• Build and maintain end-to-end reporting pipelines (from data extraction to Power BI dashboards creation)
• Regularly communicate with stakeholders and maintain feedback loops to model new and adjust existing data processes to particular business needs
• Automate and streamline reporting processes using Python (so far automated 9 reports, reducing preparation time by 40% and increasing data accuracy)

Industrial Service Technologies - Saint Petersburg, Russia August 2023 - July 2024

• Processed raw sales and stock data to create ABC- and XYZ-analyses of products
• Used scenario-based analysis to predict profitability of promotional campaigns under different costs and sales results
• Built custom automated pricing workflow in Python and SQL that used information about actual costs and competitor prices to optimize pricing analysis by 80% (measured in time expenditure)

EDUCATION

• Master's in Economics, Saint Petersburg State University, 2022-2024, GPA: 4.92/5
• Bachelor's in International Relations, Saint Petersburg State University, 2018-2022, GPA: 4.96/5

SKILLS

• Python: pandas, numpy, statsmodels, matplotlib, seaborn, openpyxl, scikit-learn
• Machine Learning: regressions, ARIMA, SVC, XGBoost, KNN, K-Means, PCA
• SQL: MSSQL, PostgreSQL, PL/SQL (procedures, functions, CTE, window functions, nested queries)
• Power BI: DAX, Power Query, dashboards and visualizations
• Cloud & Data platforms: AWS, Snowflake, Databricks
• Excel: pivot tables, formulas, charts, macros
• Languages: English (C1-C2), Romanian (B1), Russian (C2), German (C1), French (B2)