Danilo Soto

Founding Partner Erea Decisions Lab
  • Occupation:
    Chief Data Scientist
  • Experience:
    ● Expert in descriptive statistics, diagnostics, and analysis of prescriptive and predictive data
    ● Development of predictive models (classification, recommendation, and segmentation)
    ● Development of inventory management models and demand-driven replenishment algorithms
  • EDUCATION:
    ● B.Sc. in Chemical Engineering from The University of Texas at Austin,
    ● MBA from Incae Business School

Biography

Danilo is EREA’s Chief Data Scientist, with over 8 years of experience in the oil, specialty chemicals, consumer credit, home improvement, and retail industries in the United States, Chile, Ecuador and Guatemala. His experience includes diagnostic processes, development and implementation of diverse business areas with a highly statistical and quantitative approach. He is currently focused on the use of Data Science and Business Analytics tools to ensure that decision makers have the right information in the right context and can make better decisions more quickly and effectively; measuring, projecting and monitoring business performance. His work yields strategies that promote better results and identify new business opportunities to maximize profitability per product and client.

Experience

  • Selected experience:
    • Expert in descriptive statistics, diagnostics, and Analytics of prescriptive and predictive data
    • Development of predictive models (classification, recommendation, and segmentation)
    • Development of inventory management models and demand-driven replenishment algorithms
    • Elaboration of studies of payment probability and credit rating; definition of recovery strategies of delinquent portfolio
  • Education
    • Sc. in Chemical Engineering from The University of Texas at Austin,
    • MBA from Incae Business School