Develop a machine learning-driven dynamic pricing model for refurbished electronic devices, leveraging data insights and deploying on AzureML for real-time scalability and competitiveness.
Agenda for the session
- Clean and preprocess data from various sources
- Develop and Optimize features for better model performance
- Train Gradient Boosting/XGBoost models for pricing
- Deploy on AzureML for real-time, scalable pricing updates.
About Speakers
Mr. Vinicio De Sola
Senior AI Engineer - Newmark
- Specializes in Machine Learning Techniques and redeveloping models to include automation
- Studied Cryptocurrencies and Smart Beta Factors in the space
- Before switching to finance, was an entrepreneur in diverse areas like E-learning, E-commerce, and Engineering
- Mentor at Great Learning
