Engineering Machine
Resume:
Venkatesh Kongara
To succeed in a stimulating and challenging environment, building the success of the company while experiencing advancement opportunities.
********@*****.***
Fno-208, Varun Residency,
Ippatum road,
Mangalagiri-521230, india
06 October, 1996
linkedin.com/in/
kongara-
venkatesh-6a4b4113a
AutoCAD
CATIA
IPG CarMaker
ANSYS APDL
ANSYS Fluent
LabVIEW
MATLAB
MACHINE LEARNING
LANGUAGES
C
INTERESTS
Photography
Drawing Painting
Cooking
EDUCATION
8.49 CGPA
Automotive Engineering
06/2014 – 04/2018
Bachelor of Technology
Lakireddy Balireddy College of Engineering
7.46 CGPA
Mechanical Engineering
06/2012 – 04/2014
Intermediate Education
Narayana Jr.college
92.4 %
MPC
9.3 CGPA
Secondary Education
Aditya Vidyaniketan
06/2011 – 04/2012
PUBLICATIONS
Participated in on-line workshop Battery Thermal Management for EV,May-2020. Completed Basics of Python course in Udemy E-learning, March-2020. Participated in SUNRISE A NATIONAL LEVEL FEST 2K18 in NRI INSTITUTE OF TEHNOLOGY.
Participated in workshop QUADCOPTER-THE UAV-2017.
Participated in ISIE SOLAR VEHICLE-2K16.
PERSONAL PROJECTS
Flexural Analysis of leaf spring and Fracture Analysis on Functionally Graded Hybrid Composite materials.
Fabricated the leaf spring with the functionally graded hybrid composite materials and tested with three point bending test machine. Fracture started at the load of 516 kg. Prediction analysis of Diesel Engine Emissions Using Linear Regression Algorithm in Machine Learning
Collected the emission data from the SI engine and performed the predictive analysis using linear regression in MATLAB. MSE error of 0.94 for each emission data is achieved. Prediction of In-cylinder Pressure with Lambda and Engine Speed Using Artificial Neural Networks.
INDUSTRIAL EXPOSURE
21-days Internship in HINDUSTAN SHIPYARD Ltd, Vishakhapatnam Master of Technology
Amrita Viswa Vidyapeetham
06/2018 – 07/2020
Courses
Courses
Courses
Published a research paper entitled PREDICTION OF ENGINE EMISSIONS USING LINEAR REGRESSION IN MACHINE LEARNING in INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND EXPLORING ENGINEERING.
CERTIFICATIONS
Phython
AREA OF
INTERESTS
• Automotive Designing
• Engine Testing
•
Collected the crank angle, in-cylinder pressure and engine load data from a diesel engine and performed the predictive analysis using Artificial Neural Networks in MATLAB. MSE for the data was shown as 0.053802 at epoch 375, with coefficient of correlation close to 1 was achieved. Code Warrior
SOFTWARES KNOWN
Work Experience
Internship Trainee
Automotive Test Systems 12/2020 – Present
KS Tornado
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