Konrad Phil

I am a data scientist and analyst with practical experience developing machine learning models and business intelligence solutions, focused on translating complex data into actionable business context. I have completed 500+ hours of technical training across data science, statistical analysis, and visualization, and have built production-oriented projects including fraud detection and hotel analytics.

My hands-on experience includes implementing an insurance fraud detection system using Python, Scikit-learn and TensorFlow, building an online hotel management system with analytics, and analyzing Spotify listening behavior via the Spotify API. I pair technical skills (Python, SQL, Pandas, Power BI/Tableau) with strong data storytelling to drive decisions and operational improvements.

I am passionate about using data, AI and automation to improve efficiency, streamline processes and enhance intelligent decision-making, and I am seeking a full-time data analyst role where I can apply Python, SQL and analytical skills to advance data-based decision making.