Rajiv K Gumpina

age ~39

from Louisville, KY

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Rajiv Gumpina Phones & Addresses

  • 4318 Tulip Grove Ct, Louisville, KY 40241 • 5023940256
  • Nashville, TN
  • East Brunswick, NJ
  • Hermitage, TN
  • Columbus, OH

Work

  • Company:
    Humana
    Dec 2012
  • Address:
    Louisville, Kentucky Area
  • Position:
    Clinical data consultant

Education

  • Degree:
    M.S.
  • School / High School:
    The Ohio State University
    2007 to 2009
  • Specialities:
    Industrial Engineering

Skills

Sas • Data Analysis • Statistics • Analysis • Sql • Analytics • Statistical Modeling • Sas Programming • Software Documentation • Microsoft Excel • R • Matlab • Minitab • Access • Research • Healthcare • Healthcare Analytics • Visio • Spss

Industries

Hospital & Health Care

Resumes

Rajiv Gumpina Photo 1

Associate Vice President

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Location:
1 Les Buzz Way, Spring Valley, IL
Industry:
Hospital & Health Care
Work:
Humana - Louisville, Kentucky Area since Dec 2012
Clinical Data Consultant
NCI Information Systems, Inc. Oct 2010 - Dec 2012
Statistician
The Ohio State University - Columbus, Ohio Area Sep 2007 - Mar 2010
Graduate Assistant
The Ohio State University Aug 2007 - Dec 2009
Graduate Research Assistant
Education:
The Ohio State University 2007 - 2009
M.S., Industrial Engineering National Institute of Technology Kurukshetra 2003 - 2007
B.Tech, Mechanical Engineering GRJC
High School
Skills:
Sas
Data Analysis
Statistics
Analysis
Sql
Analytics
Statistical Modeling
Sas Programming
Software Documentation
Microsoft Excel
R
Matlab
Minitab
Access
Research
Healthcare
Healthcare Analytics
Visio
Spss

Us Patents

  • Generating Machine Learning Based Models For Time Series Forecasting

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  • US Patent:
    20230075453, Mar 9, 2023
  • Filed:
    Sep 8, 2021
  • Appl. No.:
    17/469598
  • Inventors:
    - Louisville KY, US
    Peyman Yousefian - Frederick MD, US
    Harpreet Singh - Louisville KY, US
    Rajiv Kumar Gumpina - Louisville KY, US
  • International Classification:
    G06N 5/04
    G06N 5/02
    G06F 16/28
  • Abstract:
    A system according determines a machine learning based model for forecasting time series data for a given use case. The system determines a model metric for a specific use case of time series data. The system accesses a pool of machine learning based models including a plurality of machine learning based models machine learning based models based on different machine learning techniques. For each of the plurality of machine learning based models the system performs forecasting using the machine learning based model and determines the value of the model metric for the machine learning based model. The system selects a machine learning based model based on comparison of values of the model metric for machine learning based models. The system uses the selected machine learning based model for forecasting values for the time series data for the application.
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