Andrew J. Carolan's Resume

Professional Summary

Technically minded and solutions-oriented professional with expertise in hyperscaler environments and a proven track record in preventing data breaches through architecture reviews and compliance audits. Proficient in developing Python and Pandas workflows to automate security risk detection. Experienced in Natural Language Processing; designed models that enhance diagnostic capabilities for psychosis in clinical settings. Skilled in data analysis, reporting, and client communication. Strong foundation in software development, with competencies in Python, SQL, and machine learning. Committed to leveraging technical expertise to drive organizational success and improve data quality.

Experience

RWJ Hospital, New Brunswick, NJ

Natural Language Research Project, 2023 – Current

Design and execute advanced data tagging and de-identification procedures utilizing custom coding aimed at significantly improving data quality while ensuring patient confidentiality. Developed and deployed a cutting-edge Natural Language Processing model to accurately identify potential indicators of psychosis within patient data, enhancing diagnostic capabilities. Currently, an abstract has been submitted to a board for review, with the aim of publication later this year.

Key Accomplishments:

Assembled and analyzed a diverse dataset encompassing over 100 critical patient data points; identified and facilitated more robust research outcomes by partnering with psychiatrist.
Tackled complex data processing issues while monitoring adherence to strict confidentiality standards and maintaining the integrity of sensitive information.

Kyndryl, New York, NY

Cybersecurity Architect Intern, May 2024 – August 2024

Leverage expertise in hyperscalers to prevent data breaches and maintain organizational security through architecture reviews and compliance audits. Develop Python and Pandas workflows to automatically detect and mitigate security risks by identifying GitHub and API secrets and sending timely alerts.

Key Accomplishments:

Designed and developed a Power App that reduced design review turnaround time by 50% for over 80,000 employees by automating communication and ensuring compliance with security standards.
Collaborated with solution owners to ensure their systems met security standards, successfully approving their hyperscaler environments for compliance.

Hedgeserv, New York, NY

Intern, Summer 2019, 2022

Produced high-quality trade files for individual projects, consistently surpassing client expectations and contributing to enhanced client satisfaction. Gained a robust understanding of data processing and financial terminology, facilitating effective communication with clients and colleagues.

Key Accomplishments:

Delivered actionable insights to a $50 billion AUM quantum hedge fund and developed a Python-based reporting tool using Pandas aimed at enabling informed decision-making through weekly data insights.
Created customized reports through advanced technical skills in Python, SQL, and data processing and confirmed precise alignment with various clients' requirements.

Education

Bachelor of Science, Computer Science – 2024

Rutgers University, New Brunswick, NJ

Relevant Coursework: Data Structures, Software Methodology, Computer Architecture, Expository Writing, Machine Learning, Artificial Intelligence, Brain-Inspired Computing, Discrete Math.

Collaborated with Anthony Deo, MD, PhD, on a publication that leverages Natural Language Processing (NLP) to enhance the diagnosis of psychosis in children.

Technical Skills

Python, SQL, Pandas, Java, Git, C++, NLTK, Swift/SwiftUI, HTML, Linux, C, Machine Learning.