Joey Gronovius

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.

Experience

1. Senior Data Scientist Applied Scientist, Client Lead

   Flyr

   Aug 2024 — Present · 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

  2019 — 2020

• Technische Universität Berlin

  Aerospace Engineering, Entrepreneurship

  2017 — 2017

• UC San Diego Jacobs School of Engineering

  Bachelor's degree, Electrical and Electronics Engineering

  2015 — 2019