Xiaorui Tian

Master's

Computer Engineering

Philip Morris International

Data Scientist

- Implemented serial communication protocols using Python to accurately collect 6-degree-of-freedom sensor data from embedded sensors within electronic cigarettes. Leveraged AWS services for secure and scalable data storage, and applied machine learning algorithms for feature scaling (normalization), denoising, and standardizing - Utilized Python and Matplotlib for advanced data processing and visualization, extracting insights from mobile - Employed Python for meticulous data preprocessing and pivotal feature extraction from the MySQL database - Applied supervised and unsupervised learning techniques, enhancing dataset information quality by 20% and improving prediction accuracy of machine learning models by 6 - Applied Autoencoder-Generative Adversarial Networks (AE-GDI