Monte B. | Data Scientist

Monte B.

Data Scientist | Quantitative Researcher

Former cancer researcher turned data scientist, with a strong foundation in clinical oncology and hematologic malignancies, particularly acute promyelocytic leukemia. Published author with peer-reviewed studies in translational medicine. Now focused on quantitative finance, credit risk modeling, and data-driven decision-making. Passionate about applying analytical rigor to solve high-impact problems across domains.

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Academic Research in Oncology & Bioinformatics

Peer-reviewed publications focused on acute promyelocytic leukemia (APL) research and treatment outcomes.

  • • Jillella, A. P., Arellano, M. L., Gaddh, M., et al. (2021). "Comanagement strategy between academic institutions and community practices to reduce induction mortality in acute promyelocytic leukemia." JCO Oncology Practice, 17(4), e497–e505.
  • • Bolds, S. L., Hassan, S. M., Caprara, C. R., et al. (2019). "Availability of all-trans retinoic acid and support systems for management of acute promyelocytic leukemia in Michigan and Louisiana, USA." Hematology Reports, 11(2), 7896.
  • • Kota, V., Kharkhanis, P., Caprara, C. R., et al. (2017). "Weight gain during induction therapy of acute promyelocytic leukemia patients: a preventable problem." Blood, 130, 5017.
  • • Kota, V., Karkhanis, P., Sharma, R., et al. (2016). "A prospective multi-center trial shows reduction of early deaths and improved survival in elderly acute promyelocytic leukemia patients (> 60 years)." Blood, 128(Suppl 22), 3826.
  • • Simon, K. S., Kharkhanis, P., Caprara, C. R., et al. (2017). "A normal prothrombin time, aPTT and fibrinogen level do not eliminate DIC in APL." Blood, 130(Suppl 1), 3865.
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Featured Projects

Credit Risk Model

Machine learning model for predicting loan defaults with 94% accuracy using ensemble methods.

Python Scikit-learn XGBoost
View on GitHub

Cancer Genomics

Deep learning pipeline for identifying genomic biomarkers in cancer patients using TensorFlow.

Python TensorFlow Bioinformatics
View on GitHub

Financial Dashboard

Interactive dashboard for real-time financial data analysis with Python and Dash.

Python Dash Plotly
View on GitHub
View All Projects on GitHub

Recent Blog Posts

June 15, 2023 • 8 min read

Machine Learning in Credit Risk: Beyond Traditional Models

Exploring how deep learning architectures can improve upon traditional credit scoring models with real-world case studies.

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May 2, 2023 • 12 min read

Translational Bioinformatics: Bridging Cancer Research and Clinical Practice

How computational approaches are accelerating the translation of cancer genomics discoveries into clinical applications.

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April 10, 2023 • 6 min read

The Future of Explainable AI in Financial Services

Examining regulatory challenges and technical solutions for implementing explainable AI models in banking and finance.

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Get In Touch

Contact Information

Feel free to reach out for collaborations, consulting opportunities, or just to say hello!

Location

Jacksonville, FL

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