Summary
Joshua Ong is a Business Technology Solutions Analyst with a decade of hands-on experience turning data into strategic insights across consulting, research, and startup environments. He blends applied machine learning, advanced statistics, and engineering—building models from temporal collaborative filtering to transformer-based NLP and deploying cloud-backed data warehouses—to improve decision-making in EdTech, Supply Chain, and FinTech contexts. At USC he led research projects optimizing India’s artisan supply chains and forecasting market prices, and at Intel and startups he automated anomaly detection and rebuilt analytics infrastructure to deliver measurable operational gains. Comfortable in Python, SQL, R, and modern ML stacks (TensorFlow, XGBoost, BERT, LSTM), he pairs technical depth with polished stakeholder communication developed through course administration and tutoring roles. A competitive chess player and peer mentor, he leverages strategic thinking and teaching experience to translate complex analyses into actionable recommendations. Based in New York, he is equally drawn to climate and venture-backed tech opportunities where analytics can directly influence growth and social impact.
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