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Experience level:
1-3 years
Education level:
Bachelor
Languages:
Russian: Native
English: B2
Serbian: A1
Result-driven Data Analyst with expertise in Python, SQL, and BI tools. Delivered predictive models with 85% accuracy and optimized data pipelines for a 25% performance boost. Seeking to leverage analytical skills to drive impactful business decisions. I’m currently seeking for Junior/Middle positions or internships in Data Analytics, Data Science or ML Engineering in Serbia where I can grow and contribute to impactful, data-driven decisions. Ready to relocate and boost my language.
Stack: Power BI, Bitrix24, SQL
Developed BI dashboards in Power BI and Bitrix BI, providing actionable insights for management, leading to a 15% improvement in decision-making efficiency.
Conducted analysis of large datasets, identifying key business patterns that improved strategic planning and transparency.
Led an A/B test in HR analytics to compare the efficiency of old and new hiring methods. Findings showed that the new process reduced time-to-hire by 15%, directly improving recruitment efficiency.
Implemented real-time monitoring dashboards for key metrics using Python and Power BI, allowing stakeholders to track KPIs with greater accuracy and responsiveness.
Built and optimized predictive models for in-hospital mortality (sepsis) using advanced ML techniques (CatBoost, TensorFlow, Logistic Regression).
Achieved 85% model accuracy by applying hyperparameter tuning and rigorous data preprocessing (cleaning, normalization).
Delivered insights from medical data that contributed to improved risk assessment and patient care strategies.
Created detailed visualizations using Python (Matplotlib, Seaborn), simplifying complex data for medical professionals.
Stack: Python, Pandas, Seaborn, Pyplot, Sklearn.
Analyzed expense reports and external factors, enabling accurate budget forecasting and risk management strategies.
Automated reporting workflows, saving 15+ hours per month and improving team efficiency.
Built recommendation systems for cost optimization based on expense patterns, which helped reduce operational costs by 10%.
Designed clear and informative visualizations using Python (Seaborn, Pyplot) to support financial decision-making.
Stack: MS Access, MySQL
Designed a centralized database structure in MySQL, reducing retrieval time for key business metrics by 30%.
Conducted export and order trend analysis, providing actionable insights for operational efficiency.
Developed Python-based reports and dashboards, enabling senior management to make informed decisions.
Programming Languages: Python, SQL. Data Analysis: Pandas, NumPy, Seaborn, Matplotlib, Pyplot. Machine Learning: Scikit-learn, CatBoost, TensorFlow, Logistic Regression, Decision Tree. Database Management: MySQL, MySQL Workbench, MS Access, MS Excel. Business Intelligence (BI): Power BI, CRM Bitrix24 BI. Data Preprocessing: Data cleaning, normalization, and feature engineering. Tools: Jupyter Notebook, Google Colab, Visual Studio Code, BI platforms. Project Management: Analytical thinking, risk assessment, and strategic planning. Other Skills: Report creation, data visualization, and process automation.