- Founded Analytics Odyssey, driving innovation in data solutions that enhance business intelligence and decision-making.- Implemented scalable data ecosystems including warehousing, visualization, and transformation to boost client operational performance by 40%.- Developed proprietary data models and algorithms, leading to significant improvements in data accuracy and insights.- Led data teams across enterprise organizations, contributing to 200% revenue growth within two years.- Engaged as a thought leader in data science, contributing to the community through speaking engagements and publications.

- Womply grew from $20M/year to $1Billion/year during the two years I was leading the data science team. We were the third largest lender of the Paycheck Protection Program.- People leader for a team of 5 data scientists- Enterprise consultant for data aggregation API's with Harvard, Mackenzie, The Federal Reserve, and Fannie Mae- Lead Architect for end-to-end ML pipelines that aggregate billions of credit card transactions- Coordinate the cross-team MLops efforts that helped millions of small businesses to get Paycheck Protection Program funding during the pandemic. The technologies included; Python, AWS ElasticSearch, AWS Sagemaker, Docker, Snowflake, DBT, and others.

- 10th full-time employee and first in analytics. During my time, RainFocus grew to 200 employees and $35M series B funding in 3.5 years- Grew the analytical organization from one FTE to 14- SME developer for data models, self-serve engagement scoring, self-serve analytics, data management, data visualization, and machine learning recommendations- Managed 2 agile development teams that built analytical SAAS data products. The teams included a product manager, 2 back-end Java engineers, 2 front-end REACT engineers, a UX designer, a UI engineer, a QA engineer, and 3 Data Scientists- Developed code for data tools and product solutions using: Python, MYSQL, JSON, AWS, and Birst (view my programming languages)- Webinar presenter and content creator for analytical maturity and data products in the enterprise events industry

- Managed a team of 4 business intelligence analysts, a data architect, and a project manager- Pioneered and coordinated the end-to-end effort to white-label and embed a new data visualization software- ETL modeler for transforming a transactional AWS MYSQL database to a Snowflake dimensionally modeled data lake in real-time- Consulted with executives of enterprise events to define and develop scorecards, dashboards, and reports. These products used dynamic filtering via variables to display custom data for thousands of speakers, exhibitors, and managers that logged into the system- Developed and managed the cross team collaboration efforts to train 100’s of business analysts for self-serve analytics - Created the data literacy culture that accelerated analytical maturity for the business

- Pioneered test design and performance analytics for multi-level trigger-based marketing campaigns that could detect ROI within 1% accuracy- Big data engineer for marketing data migration into Hadoop- SME data scientist for global 500+ people cross-functional teams on large scale marketing campaign strategy- Keynote SAS analytics expert for: test design, control size calculation, multivariate regression modeling, customer segmentation, power calculations, and bootstrapping

- Re-engineered the global sampling methodology used by the compliance testing team. The new sampling design was responsible for 50-75% increased efficiency and a projected $3MM of annual savings- Developed regression and predictive analytics using SAS to identify possible valid samples within a large dataset. Increased data efficiency by 30%- Designed and implemented time series forecasting models to predict compliance errors for the customer support center within Salt Lake City