A Few Highlights of Nithin Kantharaj’s Linear Regressions Based Project

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A Few Highlights of Nithin Kantharajs Linear
Regressions Based Project
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Introduction to Nithin Kantharaj

• Nithin Kantharaj is a young professional who has
  always been extremely passionate about his work
  and strongly believed in inspiring others.
• As a responsible product engineer/project
  engineer for one of the most leading medical
  technology companies in Flanders, New Jersey,
  Nithin always shows initiative and creativity in
  honoring commitments.
• Talking about his current association, Nithin
  enjoys tackling challenging assignments in a
  relevant and growing industry.
• He has received his higher education from The
  University of Texas at Arlington and PES
  Institute of Technology, Bangalore.

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Projects He Has Worked Upon

• Nithin Kantharaj has worked upon a number of
  projects over the years. These include
• Failure Mode Effect Analysis On Samsung
  Components
• Quality Analysis On The Toyota 9 Million Recall
• Economic Analysis
• Time Study On Work Performance
• Simple Linear Regression And Multiple Linear
  Regression
• Design And Fabrication Of Drilling Machine

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The Project-Based On Linear Regressions

• The project was conducted to measure the
  parameters for the box office collection of a
  movie using a data set consisting of the budget,
  director, actor, Number of prequels as
  independent variables.
• Nithin conducted simple and multiple linear
  regression analysis using SAS and MINITAB to look
  for trends and further determine the variables
  for the success of the movie.
• The analysis showed that 88.59 of the model is
  explained by the variables actor and budget,
  which results in huge box office collection.

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Courses He Has Taken

• Nithin Kantharaj has studied the following
  courses as a student

• Advanced Engineering Economics
• Advanced Operations Research
• Enterprise Analysis and Design
• Introduction to Industrial Engineering
• Production and Inventory Control Systems
• Project Management

• Quality Systems
• Regression Analysis
• Advanced Study in Industrial Engineering
• Enterprise Engineering Methods
• Metrics and Measurement
• Planning and Control of Enterprise Systems

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Thank YouNithin Kantharaj