Daniel Del Castillo

• Successfully developed and deployed a containerized web application with APIs to facilitate the building of predictive models through a no-code tool, resulting in improved efficiency for hundreds of users. • Provided data analysis consulting services, including dashboard development, data quality assessment, data science project management, and cloud architecture design. • Recruited, coached, and managed an initial team of 3, providing guidance and leadership.

• Assumed a leadership role in developing and implementing an advanced data analytics strategy and platform, managing a team of up to six data professionals. • Implemented data-driven business optimization strategies with multiple business units, e.g. resulting in a 5% decrease in churn rate (including experimental design, predictive modeling, clustering, and NLP). • Provided coaching and mentorship to three team members, acting as a key advocate for data-driven decision-making within the organization.

• Pioneered the development and implementation of advanced e-commerce pricing initiatives using deep learning and dynamic price optimization, resulting in a 20% increase in customer lifetime value. • Offered support and coaching to the pricing team in machine learning and high-performance computing.

• Led the implementation of machine learning-based e-commerce pricing initiatives, resulting in a 25% increase in net income per customer. • Created an internal simulation framework in R/Python for price optimization. • Conducted marketing attribution, causal inference, and A/B testing to assess the impact of marketing and pricing initiatives.

• Converted spreadsheet-based business reporting processes to SQL, resulting in -90% in ETL time. • Conducted statistical modeling for financial stress tests for a portfolio of over 300,000 insurance policies.