Sahil Suryan
About Sahil Suryan
Sahil Suryan is a Data Warehouse Specialist at Milliman, specializing in creating dashboards with Tableau and enhancing data analysis using Python. He has experience in client interaction, marketing program development, and has previously worked in various analytical roles.
Work at Milliman
Sahil Suryan has been employed at Milliman as a Data Warehouse Specialist since 2021. In this role, he focuses on creating dashboards using Tableau, which provide actionable insights for business analysis. His work involves engaging in client interactions and managing customer relationships to ensure that business objectives are met. He has contributed to the company's data-driven decision-making processes through his expertise in data cleaning, quality assurance, and data merging.
Previous Experience in Data and Business Development
Prior to his current role, Sahil Suryan worked at Publicis Sapient as a Media Analyst from 2020 to 2021. His responsibilities included analyzing media data to inform business strategies. Before that, he served as a Business Development Associate at Staqu Technologies for nine months in 2019, where he focused on developing strategies to enhance business growth. His diverse experience in both data analysis and business development has equipped him with a well-rounded skill set.
Education and Expertise
Sahil Suryan holds a Bachelor's degree in Computer Software Engineering from Deenbandhu Chhotu Ram University of Science & Technology, which he completed from 2012 to 2016. He furthered his education in Business Analytics at AnalytixLabs, earning a certification from 2019 to 2020. His academic background, combined with his practical experience, has provided him with a strong foundation in data analysis, particularly utilizing Python for data processing tasks.
Skills in Data Analysis and Visualization
Sahil Suryan specializes in creating dashboards using Tableau, which are essential for providing actionable insights in business analysis. His skills extend to data cleaning, quality assurance, and data merging, which enhance the integrity and reliability of data-driven decisions. By leveraging Python for data analysis, he improves the efficiency of data processing and reporting, making him a valuable asset in any data-centric environment.