I am a Master's student in Data Science for Economics at the University of Milan. My focus is on using data analytics and machine learning to solve problems in finance and economics. I have hands-on experience with Python, R, SQL, and data visualization tools like Power BI and Matplotlib.At Ammagamma, I helped improve financial forecasting accuracy by 15%. While at Intarget S.p.A., I reduced customer churn by 10% and improved customer segmentation by 20%. I've also worked on projects like predicting Spotify track popularity with 80% accuracy and detecting credit card fraud with a 98% success rate.I aim to apply my skills in machine learning, econometrics, and time series forecasting to help financial institutions and investment firms make data-driven decisions.Key Achievements:Improved financial forecasting by 15% at Ammagamma.Reduced customer churn by 10% at Intarget S.p.A.Achieved 98% accuracy in credit card fraud detection.Skills:Programming: Python, R, SQLMachine Learning: Supervised & Unsupervised Learning, Time Series ForecastingData Visualization: Power BI, Matplotlib, ExcelTools: PostgreSQL, MongoDB, StreamlitLanguages: English (Fluent), Italian (B1), Persian, Turkish, AzerbaijaniFeel free to connect with me on LinkedIn or reach me at Araz.asghariehahari@gmail.com.