• Initiated and led monthly experimentation practice brainstorming sessions for data scientists to learn and share best practices
• Led over 50 experiments giving guidance on feature launches
• Empowered non-technical stakeholders to quadruple experimentation velocity to 16 per quarter through training and building self service tools
• Drove adoption by product marketing teams on new experiments by demonstrating benefits of interweaving multiple message types using Python simulation–8% improvement in click through rates.
• Drove B2C targeted messaging by scoping engineering requirements for a bandit-style approach to experimentation
• Researched retention data and made recommendations aiding long-term revenue generation from future home transactions
• Authored 20 dashboards to enable product teams to make more timely decisions
• Reduced dashboard clutter by factor of 4 by scoping data requirements for Data Visualization Engineer to automate dashboards to increase efficiency of d

• Introduced machine learning models to predict staffing fill rate to enable more competitive market position
• Compiled market research on employee turnover to enable sales team
• Audited and expanded company wide dashboards for product teams
• Analyzed costs and revenue of potential platform features

• Identified savings of over $1M by forecasting new campaign sales
• Revamped process to save 6 hours of data scientist time per campaign
• Churn analysis enabling long term revenue generation
• Established geotargeting of top Xbox Live Rewards Members for E3
• Clients: Microsoft, Clorox, Starbucks, AARP

• Identified $200 million in annualized inventory reduction opportunity
• Prototyped truckload rounding algorithm resulting in 10%+ savings transportation costs.
• Performed supply chain estimates resulting in $30 million in savings through negotiations for vendor onboarding
• Prototyped algorithm to identify sharp demand changes. Algorithm piloted for a class of SKUs.
• Led SQL Training for over 15 Vendor Managers