Fresher who completed my B.E
Resume:
Chethana Kumari R
Fresher. Quick Learner.
****************@*****.***
Bengaluru, Karnataka
EDUCATION
Qualification Institution University /
Board
Year of
Passing
Aggregate
Percentage/
CGPA
B.E.
(Information
Science and
Engineering)
East Point
College of
Engineering
and
Technology
VTU
2020
6.82
PUC
JSS College
for Women
Karnataka Board of
Pre-University
Education
2016
76.83%
10th PoornaPrajna
High School
STATE 2014 82.56%
EXTRACURRICULAR ACTIVITY
Participated in the two days workshop on Cloud Virtualization and File organization Techniques held by the college.
Participated in Webinar on “Big Data Architecture and Ecosystem” organized by the college.
SKILLS
Core Java
Good Knowledge of Object
Oriented Programming
Concepts Experience with
Java Development Platform
Eclipse.
SQL
Well versed in writing SQL
queries. Having knowledge
on DDL, DML, TCL
commands. Practiced
extensively on Oracle 10g
Database.
HTML
Good knowledge on HTML
tags, attributes and Inline,
Internal and External Style
Sheet.
CSS
Well versed in Embedded
CSS and having knowledge
on Inline and External CSS.
INTERNSHIP
Graduate Engineer
Trainee
(HEd Experts Pvt.Ltd.)
Jul 2019 - Aug 2019
Worked Machine Learning
Domain for a period of 1
month at Xcelerator.
PROJECTS
Bank Management System
Bascially it is a Desktop Application which uses Java(swing) for building window and the data will be stored in MYSQL database and JDBC is used for connecting window and database.
Placement Management System
Its a Desktop Application which uses Visual Studio as front end and file for storing record. Here admin can add,delete, search and modify the student record. Here the technique used is Primary Indexing and the file structure is variable length record.
Online Shopping Management System
The Online shopping Management system is a browser-based system that is designed to store, retrieve and analyze information. Deploying Exemblary Standards on Cloud
Bascially the technology used here was Cloud and programming language was python which was deployed using the AWS service Sagemaker. Sagemaker makes it easy to build the Machine Learning models because it provides everything,you need to connect to your training data and select the best algorithm. In this project Random forest and XG Boost algorithm is used. As an application Batch prediction and Churn prediction is considered. This proposal is also about how to incorporate relative costs of prediction mistakes when determining the financial outcome of using ML.
.
INTEREST AND HOBBIES
Painting,
Listening to Music,
Drawing
LANGUAGES
Kannada,English,Telugu
PERSONAL DETAILS
Date of Birth: 03 Nov 1998
Father Name: K Ramachandra
Gowda
Mother Name: B K Manjula
Nationality: Indian
Address: DoddaGubbi,
DoddaGubbi(post ),Hennur-
Baglur Main Road,Bengaluru-
560077
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