Benjamin Datko
Data Scientist at Bloomberg Industry Group
Based in Washington, United States
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Seniority
Staff
Department
Information Technology
Location
Washington
Industry
Software Development
Company size
1.9K
Contact information
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b•••••••@bloombergindustry.com
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Background
About Benjamin Datko
Data Scientist | Taxonomy, Research & Knowledge Services at Bloomberg Law Bringing Precision to Legal Analytics and Research As a dedicated Data Scientist at Bloomberg Law, I specialize in managing and innovating taxonomy classifications for an extensive array of legal content. My role is pivotal in handling over 3,500 taxonomy categories, applied to more than a million legal documents annually, including legal analyses, laws, regulations, news, treatises, and bills. This process is crucial for ensuring that the vast repository of legal information is accessible, accurately tagged, and easy to navigate. 🤖 At the Forefront of Machine Learning Integration I am modernizing our taxonomy applications, transitioning from a traditional rule-based system to an advanced hybrid of rule-based and machine-learning approaches. This shift not only enhances classification accuracy but also streamlines the process significantly. I oversee the development of training pipelines and annotation workflows, facilitating seamless collaboration between subject matter experts. This interdisciplinary synergy has been instrumental in increasing the platform's efficiency and user engagement. Continuous Learning and Contribution I am committed to continuous professional development, completing the Data Engineering Foundations Specialization authorized by IBM through Coursera. This has further enriched my skills in SQL, RDBMS (MySQL, PostgreSQL, IBM Db2), and ETL data pipelines. Additionally, I actively contribute to open-source projects like NumPyro and PyAgrum, focusing on bug fixes and documentation, underscoring my dedication to the broader data science community. Skills and Technologies My expertise spans various tools and technologies crucial in today's data-driven landscape. This includes advanced proficiency in Python, data visualization tools like Tableau, and multiple databases and machine learning frameworks. My approach combines technical acumen, ensuring that data-driven insights are accurate and relevant. Let's Connect! I am always open to connecting with fellow professionals, discussing potential collaborations, or sharing insights into the ever-evolving field of data science and legal research. Feel free to reach out!
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