Reema Kumar

Data Science Specialist at Quility Insurance
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Boston
Languages
  • Hindi Limited working proficiency
  • Italian Limited working proficiency
Skills

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Credentials

  • Six Sigma Black Belt Certification – Level I
    Implementation Partners LLC
    Apr, 2021
    - Nov, 2024
  • SAS Certified Specialist: Base Programming Using SAS 9.4
    SAS
    Nov, 2019
    - Nov, 2024

Experience

  • Quility Insurance
    • Insurance
    • 100 - 200 Employee
    • Data Science Specialist
      • Aug 2020 - Present

      Previously at Symmetry Financial Group, a Quility company. Previously at Symmetry Financial Group, a Quility company.

  • Cornell University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant for Biological Statistics 1 (STSCI 3010) and Introductory Statistics (ILRST 2100)
      • Aug 2018 - May 2019

      Instructed students on fundamentals of programming in R and the use of programming to conduct statistical analysis. Collaborated with faculty to develop comprehensive learning materials that emphasized application of statistics to real world problems. Enhanced learning of students in weekly lab sections and office hours by presenting complex analytical tools in comprehensible terms. Instructed students on fundamentals of programming in R and the use of programming to conduct statistical analysis. Collaborated with faculty to develop comprehensive learning materials that emphasized application of statistics to real world problems. Enhanced learning of students in weekly lab sections and office hours by presenting complex analytical tools in comprehensible terms.

  • Global Atlantic Financial Group
    • United States
    • Insurance
    • 700 & Above Employee
    • Risk Analyst Intern
      • Jun 2018 - Aug 2018

      Coded programs in Python to automate data extraction processes from cloud-based warehouse using SQL queries. Built a logistic regression model in Python to update current assumptions for the quarterly assumption review process. Utilized machine learning tools including random forest regression and gradient boosting regression to model insurance premium transactions and propose updates to currently implemented cash flow prediction models. Processed and validated data by coding programs to run roll forwards that matched monthly account balances with associated transactions. Prepared presentations for the Chief Risk Officer delineating functions of the Risk team that were delivered to the Board of Directors. Show less

  • Non-profit Summer Camp
    • Rochester, New York Area
    • Assistant Director
      • Jul 2017 - Aug 2017

      Supervised and led operations for a 3-week sleepaway camp for over 150 children. Hired, trained, and delegated responsibilities for a team of 30 counselors. Designed leadership training and intensive curriculum for camp programming. Directed communications with board members and prominent program supporters to fundraise for this non-profit organization. Supervised and led operations for a 3-week sleepaway camp for over 150 children. Hired, trained, and delegated responsibilities for a team of 30 counselors. Designed leadership training and intensive curriculum for camp programming. Directed communications with board members and prominent program supporters to fundraise for this non-profit organization.

Education

  • Cornell University
    Master of Professional Studies, Applied Statistics and Data Science
    2019 - 2020
  • Cornell University
    Bachelor's degree, Biometry and Statistics
    2016 - 2019
  • Floral Park Memorial High School

Community

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