Joseph E.

Joseph Eckert is an accomplished data engineer and scientist with diverse experience in finance and technology industries. He attended the University of Rochester, where he studied Financial Economics and Mathematics. During his studies, he obtained a study abroad experience and studied Finance and Chinese at the Shanghai University of Finance and Economics.

Eckert began his career as an intern at Xtract Research LLC, where he worked on Fixed Income Operations. He then worked in different positions at J.P. Morgan, including Corporate & Investment Bank - Investor Services Strategy, Corporate & Investment Bank - Liquidity Solutions, and Private Equity & Real Estate Services (PERES).

In 2017, Eckert became a Data Science Fellow at NYC Data Science Academy. He later worked as a Data Scientist at Spotify before moving to Earnest Research, where he is currently a Senior Data Engineer. Eckert has also worked with the United Nations Development Program - SS-GATE on the United Nations South-South Global Asset Technology Exchange.

Eckert's expertise lies in data analysis, engineering, and finance. He is skilled in Python, SQL, and data visualization tools like R and Tableau. His professional interests include machine learning, data-driven decision-making, and financial analytics.