Suhas Kini K
About Suhas Kini K
Suhas Kini K is a Financial Data Analyst at Clearwater Analytics, where he applies machine learning techniques and advanced data visualization tools to enhance financial data analysis. He holds a Master's degree in Data Science from Stevens Institute of Technology and has previous experience in statistical analysis and mentoring roles.
Current Role at Clearwater Analytics
Suhas Kini K currently serves as a Financial Data Analyst at Clearwater Analytics, a position he has held since 2021. In this role, he utilizes advanced data visualization tools such as Tableau to enhance financial data analysis. He applies machine learning techniques to optimize financial data processes and insights, contributing to the company's analytical capabilities.
Previous Experience in Data Analysis
Prior to joining Clearwater Analytics, Suhas Kini K worked as a Statistical and Data Mining Analyst at Technical Consulting & Research, Inc. for six months in 2020. He also held positions at Stevens Institute of Technology, where he served as a Graduate Student Peer Mentor and Graduate Student Orientation Leader, gaining valuable experience in mentorship and leadership within an academic setting.
Educational Background in Data Science
Suhas Kini K earned a Master's degree in Data Science from Stevens Institute of Technology, where he studied from 2019 to 2021. He also holds a Bachelor's degree in Information Technology from B. M. S. College of Engineering, completed from 2015 to 2019. His educational background provides a strong foundation for his analytical skills and expertise in the field.
Technical Skills and Expertise
Suhas Kini K possesses expertise in SQL and Python, which are integral to his role as a Financial Data Analyst. These programming languages enable him to manage and analyze large datasets effectively. His proficiency in advanced data visualization tools further enhances his ability to present complex financial data in an accessible manner.
Professional Development Goals
Suhas Kini K actively seeks opportunities to develop holistically as a well-rounded individual in the field of data science. This commitment to professional growth reflects his dedication to continuous learning and improvement in his analytical capabilities.