Oversee the strategic data priorities and develop our data engineering, business intelligence and data science and AI/ML capabilities to solve business challenges, and to improve our user, vendor & partner experiences.• Created the company’s comprehensive data and analytics platform with historical and real-time data• Lead the company’s ML/AI initiatives which resulted in a 10% reduction in costs (approx. $10MM) with algorithmic pricing, ranking and scoring algorithms• Manage a multi-year digital transformation under a changing business & team environment while staying on budget• Transform the company’s ethos from historical analyses (backward looking) to predictions & forecasts (forward looking)• Build & coach data science, business intelligence and data engineering teams• Help all stakeholders to develop a data-driven approach to drive business impact• Spearhead an experimental mindset to solve issues across the company; deployed company-wide A/B testing framework

• Successfully merged two existing businesses for data assets and processes into one data science and insights team with improved throughput of the combined company from an active Merger & Acquisition • Monetized existing data by creating new products, location-based insight & persona products • Developed & Implemented data analytics and data science roadmaps • Provided modeling, predictive analysis, scenario planning, A/B testing• Evaluated and acquired new data to build new data products• Reduced inefficiencies with creating fast Minimum Viable Products using data

• Built new data products such as location-based product from idea to market• Championed new product development with difference usage of existing data• Balanced expectations from many stakeholders; communicated a compelling vision• Designed a scalable & reusable analytics solution and developed an analytic platform• Operationalized insights by building a self-service Insights dashboard, improved accessibility & adoption

As the first Data Science hire, I developed the A/B testing framework to create a data-driven approach in measuring campaign effectiveness.• Designed an A/B testing framework to standardize testing across business units• Develop models to understand engaged audience• Created targeting strategies for specific audience segments for social media advertising• Launched an Early Signs of Success Prediction Model to aid in decision making

• Implemented and managed a new BI department; hired and mentored analysts• Developed data workflow and built a Data Warehouse solution• Designed and built analytic and predictive capabilities for the new BI/data science department

• Created & measured effectiveness of data science models which include lead generation, conversion models and car buying intent models• Designed A/B testing for testing hypotheses including RFM (recency, frequency, monetary) models• Created a summer internship program in the data science team

Fresh and Easy Neighborhood Market is an U.S. grocery chain startup with backing from Tesco UK that grew from 0 to 200+ stores.• Developed an engineering and support strategy for an in-country and off-shore teams to provide 24x7x365 coverage• Designed data redundancy and high availability for all store, manufacturing and warehouse operations• Data mining to discover & improve the supply chain and vendor delivery patterns• Decision Support for Continuous Manufacturing

Architect and develop data warehouse, pipelines and reporting systems.

Co-founder and technical & business lead for new startups