Rania Soetirto

M.S. Business Analytics | Operations Analyst

Los Angeles, California, United States

About

Experience

  • Operations Analyst at dan modern chinese
    Jun 2025 - Present · 1 yr 1 mo

  • Bilingual Data Annotator at Meta
    Oct 2025 - Feb 2026 · 5 mos

  • Analytics Manager at Global Indonesia Professionals' Association (GIPA)
    Feb 2024 - Feb 2026 · 2 yrs 1 mo

    • Designed and developed Tableau dashboards and visualizations to analyze attendee demographics and performance metrics for a summit in partnership with the Foreign Affairs Ministry. • Established a multinational database / contact base across 20+ hubs (Americas, APAC, EMEA), supporting resources for 2,000+ professionals.

  • Computer Science and Computer Engineering Writer at USC Viterbi School of Engineering
    Sep 2023 - Dec 2024 · 1 yr 4 mos

    • Monitored the latest developments in AI, machine learning, and computer engineering research, and pitched website content on the topics for USC Viterbi’s website, producing a seamless managerial structure for science and engineering content. • Interviewed USC researchers and wrote articles on computer science and computer engineering topics, such as cloud optimization, audio recognition using machine learning, and large language models.

  • Data Science Intern at PlanetArt
    Jun 2024 - Aug 2024 · 3 mos

    • Developed predictive time series models with Facebook’s Prophet to forecast budgets and pricing, supporting budget reviews for a $200M+ portfolio for a global e-commerce platform encompassing 20+ countries and 95+ brands. • Analyzed competitor sales data and developed Tableau dashboards to inform 2 new market launch decisions in North America. • Conducted trend analysis and prepared financial reports (2016–2024) to support pricing and supply chain distribution decisions. • Collaborated with business intelligence and marketing teams on customer segmentation, achieving a 10% increase in retention, profitability, and customer lifecycle through personalized digital and traditional marketing strategies. • Optimized data warehouse infrastructure to enhance data integrity for training 30+ machine learning models using AWS.