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Joey Gronovius
Senior Data Scientist Applied Scientist, Client Lead @Flyr
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WORK HISTORY
Senior Data Scientist Applied Scientist, Client Lead @Flyr
CA, US
Regularly retrained and optimized complex TensorFlow neural networks and gradient boosted decision trees to ensure an upwards trend of performance uplift.• Served as a primary owner of a SQL-based feature store, developing new features based on industry research and best practices, and regularly identified and resolved problematic feature behaviors.• Incorporated statistical techniques such as KL divergence and KS tests to troubleshoot unexpected model behaviors and improve model evaluation processes.• Designed comprehensive and standardized validation tooling and experiment procedures based on feedback from internal and external subject matter experts, which is now the company\'s gold standard in selecting production models.• Built a deep knowledge of FLYR\'s codebase supporting a tech stack that includes Airflow/dbt, Google Cloud, and Kubeflow to diagnose and resolve critical model bugs.• Owned requirement gathering and roadmap creation, from data warehousing to production model deployment.• Continued to lead client presentations for proposed model improvements and deployment performance.• Evaluated and communicate the impact of clients\' data issues and idiosyncrasies on models and downstream products to internal stakeholders and clients.
EDUCATION
Rotterdam School of Management, Erasmus University
MSc. in Management, Business Administration and Management, General
Technische Universität Berlin
Aerospace Engineering, Entrepreneurship
UC San Diego Jacobs School of Engineering
Bachelor's degree, Electrical and Electronics Engineering
ABOUT JOEY GRONOVIUS
I am a data scientist that has historically specialized in combining extensive customer data analysis and neural network-based approaches to solve pricing & forecasting challenges, especially in the time series domain for perishable inventory. My early professional experience has also garnered me significant experience in managing implementation projects and B2B customer relations, which I have found invaluable in discovering data-driven solutions that are both optimal as well as appealing to stakeholders. Aside from my technical skills, I also have proven abilities in leadership, communication and presentation, and project management. I am actively working on expanding my skillset to cover everything expected of a \"full stack\" data scientist, and eventually aspire to progress to either product or team management.
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