Anil Hn
About Anil Hn
Anil Hn is a Senior Data Analyst with extensive experience in data analysis and business intelligence, currently working at Scientific Games since 2017. He holds a B.Sc in Agriculture from the University of Agricultural Sciences, Bangalore, and an MBA in F&D (Analytics) from Karnataka Veterinary Animal and Fisheries Sciences University.
Work at Scientific Games
Anil Hn has been employed at Scientific Games as a Senior Data Analyst since 2017. In this role, he focuses on analyzing casino data and providing insights that support internal operations. His responsibilities include transforming monthly casino data into BIW format for seamless integration with Oracle databases. Anil also contributed to the analysis of OSL Game data for the Vice President across various verticals, showcasing his analytical skills within the gaming industry.
Previous Experience at Tesco Bengaluru
Before joining Scientific Games, Anil worked as an Analyst at Tesco Bengaluru from 2014 to 2017. During his tenure, he developed analytical skills that contributed to various projects. His experience at Tesco provided a foundation for his current role, where he applies his analytical expertise to the gaming sector.
Education and Expertise
Anil Hn holds a Bachelor of Science degree in Agriculture from the University of Agricultural Sciences, Bangalore, where he studied from 2007 to 2011. He furthered his education by obtaining a Master of Business Administration (MBA) with a focus on F&D (Analytics) from Karnataka Veterinary Animal and Fisheries Sciences University, completing his studies from 2011 to 2013. This educational background equips him with a strong foundation in data analysis and business intelligence.
Data Analysis Skills and Contributions
In his current role, Anil has developed Bet Distribution models that provide insights into player betting behavior across various casino games. He has also assisted the internal operations support team in creating Gantt charts, demonstrating his ability to support project management and operational efficiency. Additionally, he developed a proof of concept for the Cloudera Hadoop Ecosystem to enhance database performance when connecting to Tableau.