Summary
Joshua Ong is a Los Angeles–based Business Technology Solutions Analyst at Deloitte, pairing data analytics, machine learning, and strategic consulting to transform raw data into growth-driven initiatives. At USC Marshall, he leads research focused on optimizing India’s fragmented artisan supply chain by automating SMS feedback with Python and analyzing large datasets to improve weaver pay and productivity. His hands-on ML work includes OCR-based data processing and transformer-based NLP classification developed during internships, achieving robust accuracy in the 80s. He brings a comprehensive technical toolkit—Python, SQL, Tableau, MongoDB, R, C++, and libraries spanning ML, NLP, and CV—paired with a track record of turning complex problems into scalable solutions. An active mentor and scholar, he maintains a 3.95 GPA in a BS in Business Administration with a minor in Applied Analytics from USC and has taken on leadership roles across university programs.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Business Administration; Minor - Applied Analytics, Marshall School of Business, Viterbi School of Engineering, 3.95 / 4.00 GPA, Bachelor of Science - BS, Business Administration; Minor - Applied Analytics, Marshall School of Business, Viterbi School of Engineering, 3.95 / 4.00 GPA at University of Southern California
High School Diploma, 3.98 / 4.00 GPA, High School Diploma, 3.98 / 4.00 GPA at Concordia International School Shanghai
English, Chinese