Santa Rosa Beach, Florida
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Master of Science - MS
2022
2022
In this role, I continue to expand Braze’s data capabilities by building AI-driven analytics products designed to unlock actionable insights and enhance decision-making. My work includes: - Building Retrieval-Augmented Generation (RAG) pipelines and integrating LLM applications to create intelligent data products that power personalized customer experiences. - Leading the development of semantic metric layers, data marts, and AI model integrations to drive operational efficiency and improve customer insights. - Driving the alignment of data products with broader business goals, ensuring our AI and analytics initiatives generate measurable impact across teams. - Designing Snowflake-based infrastructures that enable fast, reliable access to key insights, reducing churn and improving customer engagement through advanced predictive analytics. - Implementing data marts powered by dbt, enabling department-specific analytics for Product, Sales, Marketing, and Customer teams. - Developing a data observability strategy to ensure dbt and Snowflake data pipelines maintain high-quality standards across the organization. - Rolling out a comprehensive data catalog, centralizing business logic, creating a single source of truth for analytics, and driving transparency and collaboration across teams. This work supports our strategic goals by delivering AI-powered solutions that scale and optimize our data-driven decision-making processes. My efforts laid the foundation for Braze’s ability to scale its data infrastructure and better utilize data for strategic decision-making.
2021 - 2022
2021 - 2022
I built a centralized customer data platform at Sketchy to empower non-technical stakeholders to leverage analytics and reporting without engineering support. Key outcomes: - Delivered a managed data platform that provided a holistic view of customer data, driving actionable insights for business teams. - Integrated product/web data with ad and revenue datasets in BigQuery, streamlining data access and enabling cross-team collaboration. - Designed a metrics system within Looker, leading to a six-figure revenue lift by identifying and addressing account-sharing issues. This platform helped Sketchy optimize customer analytics and make more informed team decisions.
2021 - 2022
2021 - 2022
At Revel-One, I built a talent intelligence platform that optimized candidate sourcing by reducing the time to identify top talent by 75%. Achievements include: - Combined real-time application and CRM data with candidate job histories to provide a comprehensive sourcing solution. - Enhanced the platform’s ability to identify top candidates more quickly by leveraging data-driven insights, reducing the reliance on manual processes.
2020 - 2021
2020 - 2021
I built and launched Good Money’s data practice and infrastructure, integrating cross-channel customer analytics to deliver personalized experiences for 200K waitlisted customers. Key outcomes: - Built a Snowflake-based data platform with Segment, supporting Marketing, Risk, Customer Support, and Product teams in crafting targeted, data-driven messaging. - Developed an optimization framework for marketing campaigns that reduced customer acquisition costs and improved conversion rates by 25%. - Implemented a unified event tracking system across web and mobile apps, reducing onboarding times and streamlining the customer journey.
2018 - 2020
2018 - 2020
At Airbnb, I drove data initiatives that enhanced the hotel marketplace by combining machine learning and self-serve analytics to optimize decision-making. Key contributions: - Scaled machine learning models for anomaly detection, sales opportunity scoring, and marketing attribution. - Built a self-serve data platform leveraging Segment, dbt, Snowflake, and Looker to provide actionable insights across product and sales teams. - Established an event-based multi-touch attribution model, empowering teams to make more informed decisions through predictive insights and A/B testing.
2015 - 2018
2015 - 2018
I led the machine learning team at Conversant and was responsible for video classification using NLP and image recognition technologies. Achievements: - Built a video classification pipeline using Keras/TensorFlow for brand logo detection and scene understanding. - Managed the data pipeline for real-time products, processing over 1 trillion ads daily and managing more than 200M user profiles.