Jonah Gerstel
About Jonah Gerstel
Jonah Gerstel is a Senior Data Analyst based in New York, New York, with a background in engineering and data science. He has held various positions in organizations such as Kimberly-Clark and TRC Companies, and he possesses expertise in data analysis tools including JMP, Python, SQL, R, and Excel.
Current Role at Known
Jonah Gerstel serves as a Senior Data Analyst at Known, a position he has held since 2021. In this role, he focuses on implementing data-driven solutions and collaborates with cross-functional teams. His work emphasizes strong teamwork and communication skills, which are essential for successful project execution in data analysis.
Previous Experience in Data Analysis
Before joining Known, Jonah Gerstel gained valuable experience in data analysis and engineering roles. He worked at NYC Data Science Academy as a Data Science Fellow for two months in 2021. His previous positions include a role as a Process Engineer at Kimberly-Clark from 2018 to 2021 and as an Environmental Engineer at TRC Companies, Inc. from 2017 to 2018.
Educational Background in Chemical Engineering
Jonah Gerstel studied Chemical Engineering at Tulane University, where he earned a Bachelor of Science degree from 2013 to 2017. His education provided a solid foundation in engineering principles, which he applied in various internships and professional roles throughout his career.
Internship Experience
Throughout his career, Jonah Gerstel has completed several internships that contributed to his professional development. He served as an Engineering and Research Intern at the Alliance for Affordable Energy in 2017 and as a Design and Sales Intern at SunBlue Energy in 2016. Additionally, he held a position as a Practice School Chemical Process Engineer at Phillips 66 for four months in 2017.
Skills in Data Analysis Tools
Jonah Gerstel possesses expertise in various data analysis tools, including JMP, Python, SQL, R, and Excel. His proficiency in these tools supports his ability to analyze data effectively and contribute to data-driven decision-making processes within his current and previous roles.