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Data Analyst, Data Scientist, ML Engineer
Belgrade, Serbia

I am a Data Analyst/Data Scientist with hands-on experience in real-world data projects, proficient in Python (Pandas, NumPy, Scikit-learn), SQL querying and optimization, and popular ML frameworks like TensorFlow and CatBoost.

Over the past two years, I’ve delivered actionable insights and tangible results across healthcare, finance, and business intelligence. I developed predictive ML models (classification, regression, clustering) achieving 85% accuracy, optimized company budgets through expense analysis, automated BI dashboards using PowerBI, and streamlined ETL pipelines, saving teams 10+ hours weekly.

My expertise includes data visualization (Matplotlib, Seaborn), designing centralized databases (MySQL, ClickHouse), and creating scalable data solutions. I’m experienced with A/B testing, Big Data processing, and deploying ML models into production environments.

I’m currently seeking positions or internships in Data Analytics, Data Science, or ML Engineering in Serbia to leverage my skills and contribute to impactful, data-driven decisions while further enhancing my expertise.

Willing to relocate to: Serbia - Moldova

Personal Details

Industry: Analytics, IT Operations & Helpdesk, Scientific Research & Development

Work Experience

Junior Data Scientist
VVSU
September 2024 to June 2025

• Project 1: Sepsis Prediction Model
  Built predictive models for in-hospital mortality due to sepsis using machine learning algorithms.
  Optimized model accuracy to 85% through hyperparameter tuning and rigorous data preprocessing.
  Result: Enhanced risk assessment and patient care strategies.
  Tech Stack: Python, TensorFlow, CatBoost, Logistic Regression, Decision Tree, PyTorch

• Project 2: Explainable AI Models
  Used SHAP and LIME to improve model interpretability for medical professionals.
  Created visualizations to communicate key findings and feature importance.
  Result: Improved trust in AI-driven decisions.
  Tech Stack: Python, SHAP, LIME, Seaborn, Matplotlib

Data Analyst
ES Transit
November 2024 to April 2025

• Project 1: Real-Time KPI Dashboards
  Developed BI dashboards in Bitrix24 to provide actionable insights for sales and marketing teams.
  Implemented real-time monitoring for key metrics, enabling faster decision-making.
  Result: Improved KPI tracking efficiency by 20%.
  Tech Stack: Python, SQL, Power BI, Bitrix24

• Project 2: HR Analytics Optimization
  Conducted A/B testing to compare the efficiency of traditional and updated hiring processes.
  Analyzed HR metrics, revealing that the new process reduced time-to-hire by 15%.
  Result: Increased recruitment efficiency.
  Tech Stack: Python, PowerBI, SQL

Data Analyst
PrimTradeInvest
January 2024 to August 2024

• Project: Expense Analysis and Cost Optimization
  Conducted detailed analysis of company expenses, identifying key trends and external impact factors.
  Developed a recommendation system to optimize costs, reducing operational expenses by 10%.
  Automated reporting workflows, saving 15+ hours per month.
  Result: Improved budget forecasting and financial decision-making.
  Tech Stack: Python, Pandas, Seaborn, Pyplot

Junior Data Engineer
Primtradeinvest-Vladivostok
June 2023 to December 2023

• Project: Centralized Database Development
  Designed and implemented a centralized database structure in MySQL for transport and employee management.
  Reduced data retrieval time by 30% and streamlined business operations.
  Result: Enhanced operational efficiency.
  Tech Stack: ClickHouse, MS Access, MySQL, Python.