Bojan Tunguz

Title: **Bojan Tunguz: Innovator in Machine Learning Evaluation**

Introduction

Bojan Tunguz is a notable inventor based in Greencastle, Indiana. He has made significant contributions to the field of machine learning, particularly in the evaluation of models and their applications in financial contexts. With two patents granted, his work reflects a fusion of technical expertise and innovative problem-solving.

Latest Patents

Bojan's latest patents showcase his focus on developing systems and methods that enhance machine learning model evaluation. His first patent, titled "Systems and methods for providing machine learning model evaluation by using decomposition," involves a unique decomposition process for evaluating a model output against a baseline input data set. This approach aims to improve the accuracy and reliability of machine learning outputs.

The second patent, "Explainable machine learning financial credit approval model for protected classes of borrowers," addresses the need for fairness in financial models. It describes a process for building a protected class model that meets an accuracy threshold by incorporating data sets used by a modeling system and information about protected class membership. The patent emphasizes the importance of determining the impact ranking of each predictor within the model, ensuring equitable treatment of borrowers from protected classes.

Career Highlights

Bojan Tunguz is currently affiliated with ZestFinance, Inc., where he applies his innovative methodologies to the fintech industry. His experience and insights contribute significantly to the development of ethical and effective machine learning solutions in financial credit approval processes.

Collaborations

Throughout his career, Bojan has collaborated with notable professionals, including Douglas C. Merrill and Michael Edward Ruberry. These partnerships highlight his engagement with other experts in the field, fostering a rich environment for innovation and development in machine learning technologies.

Conclusion

Bojan Tunguz stands out as a pioneering inventor whose work has the potential to transform machine learning evaluation, particularly in financial applications. His patents reflect a commitment to not only advancing technology but also addressing ethical considerations in its use. As the landscape of machine learning continues to evolve, Bojan's contributions will likely play a crucial role in shaping future innovations.