Gerald Joseph
About Gerald Joseph
Gerald Joseph is a Data Management Leader at Fannie Mae with extensive experience in cloud services, big data, and machine learning applications in the financial sector.
Company
Gerald Joseph is currently working with Fannie Mae, serving as a Data Management Leader. Fannie Mae, a prominent government-sponsored enterprise, focuses on expanding the secondary mortgage market in the United States. Gerald's role encompasses overseeing data management initiatives, ensuring that the organization's data practices adhere to industry standards and contribute to its wider goals.
Education and Expertise
Gerald Joseph holds an MBA in Information Systems with a minor in Finance from The Johns Hopkins University - Carey Business School, completed between 2002 and 2004. He also earned a BS in Electronics and Communication from the National Institute of Technology Tiruchirappalli. Gerald's education has provided him with a strong foundation in both technical and financial disciplines, underpinning his career in data management and technology leadership.
Technical Skills and Experience
Gerald Joseph has developed and implemented a range of AWS services, including SageMaker, EMR, Lambda, and S3. His expertise extends to AWS and Big Data services such as Hortonworks and BigInsights, particularly in distributed computing environments. Gerald has managed high availability and fault-tolerant enterprise and web-scale software deployments using tools like CloudFormation, Chef, and Puppet. His practical skills are comprehensive, covering both Linux and Windows-based systems administration within Cloud environments.
Machine Learning and Data Science Leadership
In his role, Gerald Joseph has led the implementation of machine learning production-ready applications in the Financial Services Industry utilizing platforms such as Watson Studio Local and Watson Explorer. He has managed teams of data scientists working on a range of machine learning projects, encompassing supervised, unsupervised, and deep learning use cases. The tools and technologies employed under his leadership include open-source frameworks like H2O.ai, Python, TensorFlow, and Keras, as well as vendor products such as SAS Viya, DataRobot, and Ayasadi.
Background
Gerald Joseph's academic journey began in India, at St. Joseph school, where he completed his early education. He proceeded to graduate with a BS in Electronics and Communication from the National Institute of Technology Tiruchirappalli, before advancing his studies with an MBA from The Johns Hopkins University - Carey Business School. His diverse educational background has equipped him with a robust skill set that bridges the gap between technology and finance, preparing him for his current leadership role in data management at Fannie Mae.