Kushal Ismael

Kushal Ismael

About Kushal Ismael

Kushal Ismael is a Data Analyst with extensive experience in cloud platforms and data visualization. He holds a Master's degree in Data Science from The George Washington University and has worked in various roles, including system administration and data analysis.

Work at The George Washington University

Kushal Ismael has been employed as a Data Analyst at The George Washington University since 2016. In this role, he has contributed to various data analysis projects and system management tasks. His responsibilities include utilizing cloud platforms such as Google Cloud and AWS to analyze data and manage systems effectively. His tenure at the university spans over eight years, during which he has developed expertise in data visualization and machine learning.

Education and Expertise

Kushal Ismael holds a Bachelor’s Degree in Political Science and International Development Studies from McGill University, which he completed from 2009 to 2013. He furthered his education at The George Washington University, where he earned a Graduate Certificate in Data Science in 2021 and a Master of Science in Data Science in 2022. His academic background is complemented by his proficiency in programming languages such as Python, JavaScript, and R, focusing on data analysis and visualization techniques.

Background

Before his current role, Kushal Ismael worked as a Canvasser for the Fund for the Public Interest in 2010 for one month in Washington, DC. He also served as a Burness Global Intern at Burness Communications in 2014, where he worked for eight months in Bethesda, MD. These early experiences contributed to his understanding of data-driven decision-making and public engagement.

Technical Skills and Tools

Kushal Ismael possesses strong technical skills in data analysis and visualization. He is adept at using D3.js, a JavaScript library for creating dynamic and interactive data visualizations in web browsers. Additionally, he has expertise in machine learning models, including XGBoost and Neural Networks. His experience includes managing system administration for over 80,000 users across three platforms, ensuring data integrity and security.

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