Lead Analyst for System Transitionso Spearheaded the analytics team during a pivotal transition from HubSpot to Salesforce and from Citrus Biddable Ads Network to Instacart Biddable Ads Network.o Offered crucial insights into potential reporting gaps, ensuring quality assurance for engineering teams, A/B testing guidance for product teams, and cultivated standardized, business-ready reporting tables across various platforms.Warehousing & Measurement Layer Refactoring Leado Directed the analytics team in a comprehensive refactor of the warehousing and measurement layers stemming from the front-end web application's event stream.o The strategic improvements are projected to cut down ETL costs by 50% and enhance data availability and replication across our system network.

Data Governance & Reporting Enhancemento Implemented stringent data governance measures, resolving over $2.5M in reporting discrepancies. Championed the normalization of data tables and the adoption of star schema design methodologies utilizing SQL DBT and Python Prefect.Data Science Model Development & Deploymento Played an instrumental role in supporting the creation and rollout of data science models that drove over $3M in revenue for Provi. These models fortified pivotal business partnerships with top-tier Enterprise clientele.Centralized Reporting System Developmento Spearheaded the establishment of a unified source of truth for reporting, empowering business development, product, and engineering teams with self-service capabilities and insights into key performance indicators. This initiative dramatically reduced ticket volumes by 60% and fostered enhanced collaboration among cross-functional units.

Sensory Application Development for R&D Teamo Designed and implemented a specialized application for the R&D sensory team, streamlining data collection and analysis processes. Achieved a remarkable reduction in results processing time from 3 days to just 5 minutes.Quality Assurance System for Wood Log Monitoring at Brown-Forman Cooperageo Pioneered the engineering of a comprehensive data extraction, validation, and transformation process for machine sensor logs. Developed a dashboard that empowers plant leaders to promptly identify wood stack defects. This innovation has contributed to an annual saving of over $10M through enhanced barrel yield.Automation of Alcohol Reproducibility Metricso Conceived and executed an automated solution to extract and juxtapose alcohol reproducibility metrics across all twenty-three of Brown-Forman's Production Sites. Successfully replaced a time-consuming manual process with a more efficient system, eliminating days of manual data aggregation and validation.Data Pipeline Creation for Barrel Readings at Brown-Forman Cooperageo Established and maintained a data pipeline for analog readings on the newly formed barrels at the Brown-Forman Cooperage. This process has significantly increased operational efficiency because the company is now able to closely monitor barrel specifications and characteristics.

Leadership in Forecasting Automationo Steered a company-wide forecasting initiative, employing custom machine-learning models to automate business processes. This pivotal shift resulted in a substantial 20% reduction in excessive product inventory levels.Data Lake and Redshift Warehouse Developmento Engineered batch ETL processes to curate a parquet data lake stored in S3, subsequently populating a Redshift Data Warehouse using the capabilities of Apache Spark.Real-time RFM Analysis Data Architectureo Played a key role in supporting the data architecture for the deployment of an RFM analysis. The state-of-the-art architecture operated in real-time, leveraging AWS SAM components including API Gateway, Lambda, CloudFormation, and CodePipeline.