Hello from Vincenzo!

About Me

I'm a Machine Learning Scientist with experience in time series modeling, audio processing, and building scalable ML applications. I enjoy solving real-world problems with data and am always looking to learn and grow in the field.

Connect with me on LinkedIn.

Projects

• Image Classification App - Github
• Telco Customer Churn Analysis - Github
  • Machine Learning Analysis: Developed a comprehensive customer churn prediction system using advanced ML algorithms and achieved high accuracy in identifying at-risk customers.
  • Interactive Dashboard: Created a Streamlit-based dashboard for visualizing customer data, churn patterns, and model performance metrics in real-time.
  • Feature Engineering: Implemented sophisticated feature engineering with customer profiling, risk assessment, and service usage analytics to improve prediction accuracy.
  • Model Evaluation: Utilized multiple evaluation metrics (ROC-AUC, confusion matrix, cross-validation) with automated model selection and hyperparameter tuning for optimal performance.
• K-means Customer Segmentation - Github
  • Python-based data analysis project that uses clustering to segment mall customers based on their shopping behaviour
  • Analysis processes customer demographics and spending patterns to identify natural customer groupings, helping retailers develop targeted marketing strategies
  • Automated customer segmentation using machine learning
  • Interactive data visualizations of customer segments and patterns