• Identified opportunities for data science within the organization and work with product team to incorporate into the roadmap.
• Quantified impact of algorithm changes on customer experience using A/B testing.
• Built and deployed to production several high-impact ML models, from product demand to personalization.
• Led the team responsible for implementation of pricing algorithms, instrumental in ensuring target profit margin on each transaction.
• Translated business requirements into tasks, assigning and reviewing work, and contributing to the code base.
• Prioritized and scoped DS team projects based on company’s quarterly planning and OKRs.
• Built machine learning models with sklearn, keras, R using supervised and unsupervised methods.
• Lead consultant on customer churn, retention modeling, natural language processing, and time series forecasting projects.
• Created comprehensive modeling guides and tutorials for platform customers.
• Work cross-functionally with product, marketing, and engineering to provide actionable answers to business questions.
• Leveraged R to run statistical tests and models on big data from Redshift.
• Developed interactive visualizations in Tableau to effectively communicate analytic results.
