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Punit Gupta

Punit Gupta

Machine Learning Engineer
Dehra Dūn, Dehradun

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About Punit Gupta:

Structured professional demonstrating proven success in implementing Machine Learning solutions to Mechanical Engineering problems. Adept at applying modeling and simulation tools to find solutions to Engineering problems. Fostering learning outcomes through creative and innovative curriculum delivery methods using software. Keen on learning and teaching in emerging areas and adept in developing industry-oriented skills.

Experience

Associate Professor, 08/2011 to Current 

Graphic Era Deemed To Be University – Dehradun, Uttarakhand

Develop and design curriculum plans as per outcome-based education requirements to foster student learning and develop the skills in subjects related to fluid and thermal engineering and quality management.

Teach courses on MATLAB and Simulink and develop programs and applications related to fluid and thermal engineering.

Perform the accreditation activities related to accreditation like NBA and NAAC and compile related reports

Design curriculum for interdisciplinary programs and conduct Board of Studies meetings

Mentor the students for executing projects in the emerging area of Mechanical Engineering

Academic Coordinator and Placement coordinator of the Department

Head of Department from 2091 to 2021

NAAC and NBA Coordinator 

Execute other responsibilities given by the management from time to time

Associate Professor, 12/2006 to 06/2009 

ITM Gwalior – Gwalior, Madhya Pradesh

  • Distributed course syllabus and responded to student questions and concerns regarding standards, material, grading and progression.
  • Developed and implemented curriculum using academic learning strategies and educational pedagogy.
  • Trained students and guided projects on MATLAB Software.
  • Qualified GATE exam with AIR 86 in 2010.
  • Co-convener of the IT club 
  • Assistant Head of Department

 

Assistant Systems Engineer , 12/1999 to 02/2003 

Tata Consultancy Services – Bengaluru, Karnataka

Module leader and Project Process Quality Leader for the Pearl IB Insurance application.

The project activities were in compliance with internal and CMM Level 05 quality standards. Data was collected, analyzed and reported for the software metrics program, on a regular basis.

Key software skills IMS-DB, COBOL, DLI, JCL, VSAM, EAZITRIEVE

Assistant Manager, 12/1998 to 12/1999 

TATA STEEL – Jamshedpur, Jharkhand

The projects executed included investigatory/research projects and projects proposed and piloted by the plant operations. Projects were designed/redesigned as per ISO : 9001 standards. The projects were reported to and monitored by the senior management of TISCO flat products. Plant data analysis, Cold Model Experimentation and Analysis of Level 02 automation data of operational parameters was
performed on a continuous basis. Operations staff and technology groups were also involved in project meetings. Projects executed
1. Design Optimization of the Submerged Entry Nozzle SEN for slab caster.
2. Study of factors affecting Nozzle clogging.

Education

Bachelor of Engineering: Mechanical Engineering, 1995 

University Viswesvaraya College Of Engineering - Bangalore 

Project Title : A numerical method for transient heat transfer in perfectly bonded anisotropic composite plate. An alternate direction implicit scheme using the method of splitting of operators was used for modeling the process. Code was developed code using Fortran 77 and executed on VAX VMS and a thesis was written

Master of Science in Engineering: Process Modeling , Department of Metallurgy, 1998 

Indian Institute Of Science - Bangalore 

Thesis Title: Cold Model Study of Raceway. The project was funded by Jindal Vijaynagar Steel Limited , a leading steel manufacturing company in India. The company was implementing a new steel-making process, the Corex process, and consultancy was provided by experimentation. Simulations were performed in cold models to predict the raceway size as a function of bed and blast parameters and new empirical correlations were proposed. Matlab software was used for data analysis and visualization

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