Raja Amlan
About Raja Amlan
Raja Amlan is a Business Intelligence Analyst with a Master of Science in Analytics from the University of Illinois at Chicago. He specializes in big data technologies and analytics tools, and has experience in predictive modeling and machine learning techniques.
Current Role at Scientific Games
Raja Amlan serves as a Business Intelligence Analyst at Scientific Games, a position he has held since 2020. In this role, he works with databases and big data technologies, employing tools such as Apache Hive, Apache Spark, and Cassandra. His responsibilities include utilizing analytics languages and tools like R, Python, SQL, Tableau, and Pyspark to derive insights and support decision-making processes. Raja focuses on process improvement, risk modeling, and systems sizing, applying a modularity approach to enhance operational efficiency.
Education and Expertise
Raja Amlan earned a Master of Science in Analytics from the University of Illinois at Chicago, completing his studies from 2018 to 2020. His educational background also includes a foundational education at Delhi Public School in Bokaro Steel City, where he studied from 1997 to 2011. Raja's expertise encompasses a variety of analytics techniques, including machine learning methods such as Decision Trees, Random Forests, and Clustering, which he applies in his analytical work.
Professional Experience
Prior to his current role, Raja Amlan gained valuable experience in various positions. He worked as a Graduate Assistant at the University of Illinois at Chicago for nine months in 2018-2019. He also held internships at Cloudbakers as a Predictive Analytics Intern in 2019 and at TransUnion as a Data Engineering Intern/Co-Op for seven months in the same year. Additionally, he worked as a Network Data Analyst at Ericsson from 2015 to 2018 in Noida, India, where he focused on data analysis and inventory optimization.
Technical Skills and Tools
Raja Amlan possesses a strong technical skill set in analytics and data management. He is proficient in using big data technologies such as Apache Hive, Apache Spark, and Cassandra. His analytical toolkit includes programming languages and tools like R, Python, SQL, Tableau, and Pyspark. Raja employs these tools to develop predictive models, particularly for inventory optimization and sales volume forecasting across multiple product lines.