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Senior Software Engineer at Bloomberg LP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Rochester
Bachelor of Science - BS, Data Science
January 1, 2015 – January 1, 2019
Stuyvesant High School
Advanced Regents Diploma
January 1, 2011 – January 1, 2015
Bloomberg LP
Senior Software Engineer
September 1, 2022 – Present
JPMorgan Chase & Co.
Associate Software Engineer
February 1, 2022 – August 1, 2022
JPMorgan Chase & Co.
Software Engineer
May 1, 2021 – January 1, 2022
JPMorgan Chase & Co.
Software Engineer
July 1, 2019 – May 1, 2021
MITRE
Software Engineer Intern, Mission Planning
May 1, 2018 – August 1, 2018
Bedford, Massachusetts
University of Rochester
Teaching Assistant for Artificial Intelligence (CSC242)
January 1, 2018 – December 1, 2018
Rochester, New York
University of Rochester
Newman Community Office Assistant
September 1, 2017 – May 1, 2019
Rochester, New York
Maimonides Medical Center
Office Assistant
July 1, 2014 – August 1, 2014
Reshma Saujani for New York City Public Advocate
Intern
July 1, 2013 – September 1, 2013
Greater New York City Area
A+ Academy LLC
Center Assistant Manager
July 1, 2012 – August 1, 2017
Cultural Fit Analysis
The candidate has a diverse background including roles in finance, education, and non-profit organizations. The progression through software engineering roles at large companies suggests an ability to adapt to corporate environments. However, the current experience is heavily skewed towards software engineering, which may not directly align with the specific day-to-day responsibilities and cultural nuances of a dedicated Data Analyst role without further evidence of data-centric project involvement.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant and Office Assistant suggests good organizational skills, attention to detail, and the ability to communicate and coordinate. The internship at MITRE involved Agile Scrum sprints and user feedback, indicating adaptability and user-centric thinking. However, direct evidence of advanced analytical problem-solving or leadership in data-specific projects is limited in the provided descriptions.