Ravishankar Sivasubramaniam
About Ravishankar Sivasubramaniam
Ravishankar Sivasubramaniam is the Director / Principal at Fannie Mae in Washington, D.C., with extensive experience in machine learning, data processing, and analytics solutions.
Current Role at Fannie Mae
Ravishankar Sivasubramaniam currently serves as Director / Principal at Fannie Mae in Washington, District of Columbia. In this role, he is likely responsible for overseeing key initiatives and strategies within the organization. His extensive background in data processing, machine learning, and analytics solutions positions him to contribute significantly to Fannie Mae's goals.
Previous Experience at Torqata Data and Analytics
From 2020 to 2022, Ravishankar Sivasubramaniam worked as Director / Lead Solutions Architect at Torqata Data and Analytics in the Charlotte Metro area. During his tenure, he was responsible for developing and implementing data-driven solutions. His role involved leveraging advanced analytics and machine learning to support business objectives.
Role at American Tire Distributors
Ravishankar Sivasubramaniam served as Director / Senior Machine Learning Architect at American Tire Distributors in Huntersville, North Carolina, from 2018 to 2022. Over his four-year tenure, he focused on building scalable machine learning models and data processing systems to enhance operational efficiencies and business insights.
Educational Background
Ravishankar Sivasubramaniam holds a Public Leadership Credential in Public Policy Analysis from Harvard Kennedy School, completed between 2019 and 2021. He also earned a Master's Degree in Computing & Information Sciences from the University of North Florida (2010-2013) and a Bachelor of Engineering in Electronics and Communication from Kumaraguru College of Technology (1999-2003).
Technical Skills and Expertise
Ravishankar Sivasubramaniam possesses a wide range of technical skills including BigData, Python, Machine Learning Engineering, Hadoop, Spark, Cloud services, PostgreSQL, Node.js, and various NoSQL databases like MongoDB and DynamoDB. His expertise also extends to tools like QlikView, Tableau, Micro Strategy, and software engineering frameworks such as RESTful services and Jupyter Notebooks.