Professional Summary

Professional Overview

Paul Rubinstein is a seasoned Senior Statistician and SAS Programmer with extensive experience in the healthcare and financial services industries. He leverages his expertise in data analysis, programming, and statistical modeling to drive data-driven decision-making and deliver impactful solutions.

Experience Summary

Current Role

As a Senior Statistician SAS Programmer at Columbia University in the City of New York, Paul is responsible for designing and implementing complex statistical analyses, developing custom SAS programs, and providing data-driven insights to support research initiatives and decision-making processes. He collaborates closely with cross-functional teams to ensure the accuracy, reliability, and timeliness of data-driven deliverables.

Career Progression

Prior to his current role, Paul served as a Healthcare Analyst at Healthfirst, where he leveraged his SAS programming skills to analyze healthcare data, identify trends, and generate reports to inform strategic decision-making. Earlier in his career, he held the positions of SAS Programmer Analyst Accounts Receivables Group at HMS and Lead Programmer / Analyst at both UBS Wealth Management and PaineWebber, where he played a pivotal role in developing and maintaining mission-critical financial systems and applications.

Academic Background

Paul holds a bachelor's degree in Computer Science from the University of Maryland, College Park. His educational background provides a strong foundation in data analysis, programming, and problem-solving, which he has seamlessly applied throughout his professional journey.

Areas of Expertise

• Proficient in SAS programming, including data manipulation, statistical analysis, and report generation

• Expertise in healthcare data analysis, with a focus on trend identification and performance optimization

• Adept at developing custom SAS applications and integrating data from multiple sources

• Strong problem-solving skills and the ability to translate complex data into actionable insights

• Effective communication and collaboration skills, working closely with cross-functional teams

Professional Impact

Throughout his career, Paul has demonstrated a track record of delivering impactful projects and contributing to the success of his organizations. He has played a crucial role in streamlining data processes, improving reporting capabilities, and driving data-driven decision-making, which has contributed to the overall growth and performance of the companies he has served.

Conclusion

With his extensive experience, technical expertise, and collaborative approach, Paul Rubinstein is well-positioned to continue making valuable contributions in his current role and beyond. He is committed to leveraging data and technology to drive meaningful change and support the success of the organizations he serves.