I’m a Master’s student in Business Analytics at Central European University, Vienna, with a strong passion for data-driven decision-making. My work spans data analysis, visualization, and cloud computing, helping transform raw data into actionable insights that support business strategy.
Before diving into analytics, I developed a curiosity for how data shapes real-world decisions, which led me to create educational content on YouTube, including a Power BI course in my native language, making data analytics accessible to a wider audience.
I’m particularly interested in leveraging SQL, Python, R, and visualization tools to uncover patterns, optimize processes, and contribute to smarter business outcomes.
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Customer Insights Dashboard (Power BI) – Built interactive dashboards integrating multiple datasets to analyze customer behavior and sales trends.
Skills: Power BI, DAX, Data Modeling, SQL -
Hotel Booking Data Analysis – Explored and visualized hotel booking data to uncover trends and patterns.
Skills: Python (Pandas, NumPy, Matplotlib, Plotly), SQL, Data Cleaning
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AWS Cloud Data Pipeline – Automated ETL workflows on AWS to extract, transform, and load large datasets into cloud storage.
Skills: AWS (S3, Lambda), Python, ETL, Apache Spark -
Capstone Project: Business Analytics for Decision Making – End-to-end project analyzing real-world business data, creating dashboards, and providing actionable insights.
Skills: SQL, Power BI, Python, Data Visualization, Cloud Computing
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Predictive Modeling – Implemented regression and classification models to predict customer churn and sales forecasting.
Skills: Python (scikit-learn), R, Data Preprocessing, Model Evaluation -
Recommendation System Prototype – Built a recommendation system for e-commerce products using collaborative filtering.
Skills: Python, Pandas, NumPy, Scikit-learn, Data Analysis
