Ryan Gold Email & Phone Number

San Francisco, California, US

San Francisco, California, US

• Focused on growth & risk strategy
• Developed a comprehensive monthly customer P&L model to accurately track revenue and cost streams, forecast annual load volume and cost per load metrics, and identify key opportunities for mid-market accounts.
• Led a cross-functional team of 15 people, including operations managers, data scientists, and product specialists, to deploy a fraud anomaly detection model, reducing fraud incidents by 45%, generating $3.4M in annual.
• Conducted comprehensive analysis of undersupplied markets and collaborated with marketing managers to design a geo-targeting acquisition strategy with targeted TAM penetration, resulting in a 22% reduction in CAC and a.
• Engineered user LTV calculation using a multivariate regression analysis to generate more accurate supply scores based on internal liquidity metrics, external market factors, and revenue forecasts, resulting in.
• Developed a Python-based sensitivity analysis dashboard to optimize $650M in annual freight revenue by balancing booking restrictions and supply trade-offs, resulting in $2.4M annual fraud savings and a 70% reduction.

San Francisco, California, US

• Growth Strategy at Uber. Focused on carrier acquisition and carrier supply growth.
• Developed a 2-year growth model that strategically allocated $4.8M to expand Uber Freight’s driver base from 120k to 340k+ drivers, utilizing forecasting of acquisition channels, measuring growth investments, headcount.
• Architected and implemented Uber Freight's first referral program through A/B testing monetary first trip incentives for new users, resulting in a 30% reduction in cost per first trip for paid marketing channels.
• Led the development of an early lifecycle re-engagement strategy by analyzing churn drivers and conducting market research and worked with marketing and product teams to implement monetary incentives, achieving a 20%.
• Drove a 5x increase in first trip conversion for medium-large customers and generated $3.3M in incremental supply value by implementing a predictive model for a 20-member sales team, leveraging key operational data.
• Developed and implemented a strategic sales commission plan for a 30+ member fleet sales team, resulting in a 2.2x increase in first trip conversion rates and a 35% reduction in cost per first trip.

London, GB

• Generated $350k in additional savings by conducting a detailed analysis of 500 million supplier invoice records, identifying high-cost reduction opportunities, and collaborating with the contracting team to source.
• Developed a Python-based predictive model to categorize vendor payments as late, enhancing early payment identification and flagging cash flow issues up to 45 days in advance, thereby saving over $200k quarterly.
• Leveraged SQL to clean and normalize over 500 million supplier invoice records from 5 different business units, enabling the development of quality and delivery KPI's across finance and supply chain teams.

London, GB

• Performed financial analysis in Excel to optimize vendor payment terms and presented the proposal to the financial leadership team, securing approval for a 60-day pay cycle projected to save $1.2 million quarterly with.
• Spearheaded the development and analysis of quarterly financial and defense project spend metrics, driving strategic decision-making by delivering comprehensive reports to the board of directors through effective.
• Leveraged SQL to clean and normalize over 1M weekly supplier invoice records from five different business units, reducing the weekly financial processing time from 40+ hours to 10 minutes.

Bachelor Of Science - Bs, Finance, Operations Management & Business Analytics

Bachelor Of Science - Bs, Economics

Education record