Venkatesh Kongara

To succeed in a stimulating and challenging environment, building the success of the company while experiencing advancement opportunities.

adkr8h@r.postjobfree.com

958*******

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

Contact this candidate