August 2025

+ Learned Business Intelligence concepts and technical skills, such as finding data solutions, data preparation/processing, data visualization, and how to share findings with stakeholders.
+ Harnessed learned skills through case studies and work problems, excelling in assessments throughout the program.

November 2022

+ Successfully completed a comprehensive weekly online Python training program comprising 200+ sessions and hands-on projects, with a strong focus on machine learning and data science.
+ Developed expertise in data cleaning, data visualization, and statistical analysis through 100+ practical data science projects using large, real-world datasets.
+ Acquired practical coding experience and in-depth understanding of 10+ machine learning algorithms, including Linear/Logistic Regression, Random Forest, and Fast Fourier Transform (FFT).