Wonderbench Software Engineering Candidate 333

WONDERBENCH CANDIDATE 333

Education:
University of Pennsylvania Master of Science in Engineering in Computer & Information Science (May 2021). NYU, BA Math & Comp Sci.

Job-Fit:
5.0 on a scale of 5.0

Highlighted Accomplishments:

    • NYU GPA 3.80/4.00
    • AI / NLP focus
    • Extensive finTech, healthcare, consulting internship experience
    • Python, Java, SQL, and ML libraries
    • AI webinar panelist
    • COVID Kaggle project

Assessment Excerpts:
Works effectively and cooperatively with people, teams and est. procedures. Assertive, patient and deliberate in pursuit of objectives. Goal-directed in work approach to obtain results. Self-assured, but not overly forceful. Solves problems quickly, but will project a stable and relaxed demeanor w/ self-discipline…

Description

WONDERBENCH SOFTWARE ENGINEERING CANDIDATE

Review Wonderbench Software Engineering Candidate’s Education, Job-Fit, Accomplishment, and Assessment data in the MiniProfile.

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