Josh Coronel

Josh Coronel

Assistant Vice President, Vendor Analyst @ City National Bank

About Josh Coronel

Josh Coronel serves as the Assistant Vice President, Vendor Analyst at City National Bank, a position he has held since 2021. He has a diverse background in data analysis, engineering, and education, with experience at various institutions including Brookhaven National Laboratory and Epic.

Work at City National Bank

Josh Coronel serves as the Assistant Vice President, Vendor Analyst at City National Bank. He has held this position since 2021, contributing to the bank's vendor management and analysis efforts for three years. His role involves evaluating vendor performance and ensuring compliance with regulatory standards.

Education and Expertise

Josh Coronel has a Bachelor of Science degree in Biomedical/Medical Engineering from the New Jersey Institute of Technology, completed in 2019. He also earned a Certificate in Data Science from Rutgers University in 2020. His educational background supports his expertise in data analysis, machine learning, and web development.

Professional Background

Prior to his current role, Josh worked in various positions that enhanced his analytical skills. He was a Data Solution Engineer at Epic from 2019 to 2020 and a Consultant - Data Analyst at Capco in 2021. He also gained experience as a SULI Intern at Brookhaven National Laboratory in 2018 and as a STEM Educator at Roselle Catholic High School in 2020.

Technical Skills and Tools

Josh Coronel is proficient in data visualization tools such as Tableau, D3, and Plotly. He has experience with web development frameworks including Flask, React, Express, and Node.js. His technical skills extend to data engineering with tools like PySpark, Pandas, and SQLAlchemy, as well as machine learning frameworks such as TensorFlow, Keras, and Scikit-learn.

Achievements in Data Analysis

During his academic career, Josh was involved in the NJIT Solar Car Team as the Suspension Subsystem Lead and served as a Ronald E. McNair Research Scholar. He has collaborated with teams to apply machine learning techniques for predicting emerging tech hubs, showcasing his ability to integrate data analysis with practical applications.

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