Rashmi Naikar

Rashmi Naikar

Data Scientist @ Scientific Games

About Rashmi Naikar

Rashmi Naikar is a Data Scientist at Scientific Games, specializing in data storytelling and visualization. With a background in analytics and engineering, she has developed various analytical tools and conducted in-depth analyses to support business decisions.

Work at Scientific Games

Rashmi Naikar has been employed at Scientific Games as a Data Scientist since 2019. Located in Alpharetta, Georgia, she specializes in data storytelling and visualization. Her role involves developing and enhancing analytical tools, including recommendation engines, optimization tools, clustering, and forecasting models. Rashmi conducts deep-dive analyses to extract meaningful insights and provide valuable recommendations for various business challenges.

Education and Expertise

Rashmi Naikar holds a Master of Science degree in Information Systems from Kennesaw State University, where she studied from 2018 to 2019. Prior to this, she earned a Bachelor of Engineering in Electronics and Communications Engineering from Dayananda Sagar Institutions, completing her studies from 2010 to 2014. Her educational background provides a strong foundation for her expertise in data analysis and visualization.

Previous Work Experience

Before her current position at Scientific Games, Rashmi Naikar gained valuable experience as an Analytics Intern at LexisNexis Risk Solutions for two months in 2019. She also worked as a Graduate Research Assistant at Kennesaw State University from 2018 to 2019. Additionally, she served as a Data Analyst at Tesco in Bengaluru from 2014 to 2017, where she developed her analytical skills over three years.

Skills in Data Analysis

Rashmi Naikar specializes in data storytelling and visualization, which allows her to effectively communicate insights derived from data. She has developed and enhanced various analytical tools, including recommendation engines and optimization tools. Her ability to conduct deep-dive analyses enables her to extract meaningful insights and provide recommendations that address business challenges.

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