S Kaushik Ranganathan

S Kaushik Ranganathan

Software Engineer @ FINRA

About S Kaushik Ranganathan

S Kaushik Ranganathan is a Software Engineer with extensive experience in data science and engineering. He has worked for various organizations, including Cognizant, TEGNA, and FINRA, and holds degrees in Electrical Engineering and Information Management.

Work at FINRA

Currently, S Kaushik Ranganathan serves as a Software Engineer at FINRA, a role he has held since 2021. Based in Washington, District of Columbia, he has been involved in various projects that leverage his expertise in software development and data analysis. His work focuses on integrating DevSecOps practices with big data and machine learning technologies, contributing to the organization's mission of ensuring market integrity.

Previous Experience in Data Science

S Kaushik Ranganathan has a diverse background in data science, having worked in various roles across multiple organizations. He was a Data Scientist Intern at TEGNA in 2018 for two months, where he gained practical experience in data analysis. Additionally, he served as a Data Scientist Research Assistant at the University of Maryland from 2020 to 2021, further enhancing his skills in data-driven decision-making.

Education and Expertise

S Kaushik Ranganathan holds a Bachelor of Technology (BTech) in Electrical, Electronics, and Communications Engineering from SRM University, completed in 2015. He furthered his education with a Master of Science (MS) in Information Management from the University of Maryland, graduating in 2019. His academic background has equipped him with a strong foundation in data visualization tools such as Tableau and PowerBI, as well as expertise in network analysis tools like NetworkX and Gephi.

Technical Skills and Proficiencies

S Kaushik Ranganathan possesses a wide range of technical skills relevant to the fields of data science and software engineering. He is proficient in big data frameworks including Spark, Hadoop, and Kafka. Additionally, he has experience with machine learning frameworks such as Keras and TensorFlow, enabling him to develop and implement advanced analytical models. His specialization in integrating DevSecOps practices with big data and machine learning technologies further enhances his capabilities.

Internship Experience

Throughout his career, S Kaushik Ranganathan has completed several internships that have contributed to his professional development. He interned as a Data Scientist/NLP Intern at Tetra Tech in 2019 and as a Networking and Communications Intern at Airports Authority of India in 2013. He also gained experience as an Electronics Engineer Intern at Bharat Electronics Limited from 2012 to 2013. These internships provided him with hands-on experience in various technical domains.

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