Jordan Kassof

Director of Engineering at Seek

Jordan Kassof has a strong background in data management, analytics, and engineering. Jordan currently holds the position of Director of Engineering at Seek, a role they started in March 2023. Prior to this, Jordan worked as a Principal Data Engineer at Knoema from June 2022 to March 2023. Jordan also served as a Principal Engineer, Data & Analytics at SlyceData from June 2021 to June 2022.

Before joining SlyceData, Jordan contributed significantly to Rockefeller Capital Management as a Data Solutions Manager, Vice President. Jordan was responsible for developing and leading enterprise data management and analytics applications, overseeing a 10-person data team. Jordan held this role from August 2016 to June 2021.

Jordan's career at Rockefeller & Co., Inc. started in June 2014, where they worked as a Portfolio Risk Analyst. In this role, they utilized VBA, R, and SQL to build custom analytics tools for the portfolio management team. Jordan also responded to institutional sales and marketing requests and developed data products for trade order management. Jordan continued in this role until August 2016.

Prior to joining Rockefeller & Co., Inc., Jordan worked as a Trades and Income Specialist at Rockit Solutions LLC from June 2013 to June 2014.

Jordan Kassof's education history is as follows:

Jordan Kassof attended Duke University from 2008 to 2013, where they obtained a Bachelor of Science (B.S.) degree in Civil and Environmental Engineering with a minor in Math.

Jordan then attended Southern Methodist University from 2017 to 2019, where they earned a Master of Science (MS) degree in Data Science.

Prior to their university education, Jordan Kassof attended Pine Crest School from 2004 to 2008. No specific degree or field of study information is provided for this period.

In terms of additional certifications, Jordan Kassof obtained various Coursera Verified Certificates in different subjects related to data science and analytics. These certifications include "Developing Data Products," "Practical Machine Learning," "Regression Models," "Exploratory Data Analysis," "Getting and Cleaning Data," "Reproducible Research," "Statistical Inference," and "R Programming." These certifications were obtained between March 2015 and June 2015.

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