Java Developer Logistics Management

Objective

To secure a job in the IT industry where I can utilize the knowledge for my organization’s growth. Good presentation skills. Strong leadership and patience to handle situations. Exceptional communication skills in written and verbal both. Able to give the best results in pressure situations. I’ve good knowledge in AWS, Java, HTML 5, CSS, SQL, JavaScript.

Internship Experience

Worked as an Intern in Airports Authority of India, as a java developer. Had worked in real time projects.

Good Knowledge in HTML 5, CSS, Java, SQL, AWS, JavaScript.

Currently working as Analyst programmer in Shakti info solutions from March 2021 and have hands on experience in DevOps.

Education

Education

Institution

Percentage

Year of Passing

M.Sc IT

Stella Maris College Of Arts and Science for Women

75%

2020

B.Sc Computer Science

Soka Ikeda College Of Arts and Science for Women

88%

2018

HSC

Bethel Matriculation School

86%

2015

SSLC

Bethel Matriculation School

96%

2013

Technical Skills

Cloud

AWS

Primary Skills

Java, C++, .NET.

Database

SQL Database

Scripting Languages

Java Script

Web Technologies

HTML 5, CSS

Operating System & Tools

Linux,Windows and Office Package

Academic Mini Projects

Domain – Photoshop

Title: Networking website.

Domain – Java

Title: Logistics Management System.

Domain – DOT NET

Title: Flight Reservation System.

Academic Main Project

Title: An analysis of data mining induced rainfall technique to reduce farmer suicide rate and to escalate crop production

Technologies Used:

R software, Data mining Algorithms.

Abstract:

Objective of the analysis is to predict the rainfall in advance to reduce the farmer suicide rate and escalate crop production.

Roles & Responsibilities:

Developed the Analysis in R and predicted the rainfall in advance by using the data available.

Descriptive study is done in the by merging the farmer suicide data and crop production data.

Papers Presented

“An analysis of data mining induced rainfall technique to reduce farmer suicide rate and to escalate crop production” in a National Seminar.

Abstract:

In Indian agriculture, the foremost cultivated food staples are rice and wheat. As per 2018, agriculture employed 50% of the employment to the people of India which contributed 17.18% of GDP to India, because 70% of the population in India works in agriculture. As the population increases, the need for the production of crops also increases. Above everything, this research deals with the study of different case study with farmer suicide, crop production and rainfall by the data mining clustering technique and these issues can be solved by multiple regression analysis to predict the weather forecast in advance and helps in crop production. Thus it can be used for solving the issue by increasing the crop production which results in a decrease of the farmer suicide rate. The states which are affected more is studied and analyzed.

Personal Details

Name : Malleda Divya

Date of Birth : 3rd Dec 1997

Mobile No. : 638-***-****

Residing Address : No – 6, Sivaji nagar, lakshmipuram, kolathur, Chennai - 600099.

Languages Known : English, Tamil, Hindi, Telugu.

Hobbies : gardening and reading books.

Declaration,

I hereby declare that the above given information is true to my knowledge.

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