Karl Kalash has a diverse work experience, starting with their current role as a Product Marketing Manager at Chronosphere since February 2023. Previously, they worked as a Product Manager at Datadog from September 2021 to February 2023, and as an Associate Product Manager from March 2020 to September 2021. Before that, they were a Product Manager at SmartAsset from September 2019 to February 2020. Karl also held a role as a Product Manager for the IoT Platform at KINEXON from April 2019 to August 2019. Their earlier experience includes working as a Research Assistant at New York University - Polytechnic School of Engineering from June 2017 to September 2017.
Karl Kalash has a diverse education history that demonstrates their specialization in management, business analytics, data science, and civil and environmental engineering. Karl started their educational journey in 2014 at the American University of Beirut, where they pursued a Bachelor of Engineering degree in Civil and Environmental Engineering. During their time there, they also had the opportunity to participate in an Exchange Program at UCLA in 2016, focusing on Civil Engineering.
In 2018, Karl enrolled at New York University, where they obtained a Master of Science degree in Management and Business Analytics. This program allowed him to gain valuable knowledge and skills in the field of data analysis and management.
Following their graduation from NYU in 2019, Karl further enhanced their expertise by completing a Certificate Program in Foundations for Data Science at Stanford University. This program provided him with a solid foundation in various aspects of data science.
Apart from their formal education, Karl also obtained additional certifications. In 2014, they received the Diplomacy Award from the International Model United Nations Association (IMUNA). In 2019, they completed the Data Science Career Track from Springboard, further solidifying their skills in data science.
Overall, Karl Kalash's education history showcases their dedication to gaining expertise in various fields, including civil engineering, management and business analytics, and data science.
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