NAME: LAVANYA.S

E-MAIL:

adgyyd@r.postjobfree.com

CELL : 91-850*******

PERMANENT ADDRESS

No 266, Vinayagar Kovil Street,

Kullanchavadi Po, Kurinjipadi Tk,

Cuddalore Dt

PRESENT ADDRESS

No 25, Ranga Street, Kadaperi

West Tambaram, Chennai

AREA OF INTEREST

Software Engineering

TECHNICAL SKILLS

Manual Testing

Java, Python (Basic), HTML

WORK ENVIRONMENT

Windows, Linux, Ubuntu-OS

CERTIFICATION

Currently Pursuing Certified

Course for Java, Manual

Testing, SQL and Selenium

PERSONAL TRAITS

Sincerity towards job and

punctuality

Can work independently or

as a part of team

PERSONAL DATA

Father’s Name : R.SAIRAM

Date of Birth : 10-04-1998

Nationality : Indian

Languages : English, Telugu

(To Speak Only)

OBJECTIVE

“To attain a challenging position by applying my technical knowledge along with my creative thinking and thus uncover my hard work for the growth of the company”

ACADEMIC RECORDS

Degree/

Education

School/

College

Board/

University

Year

CGPA/

%

B.E (Computer

Science and

Engineering)

IFET College

Of

Engineering,

Villupuram

Anna

University

2019

7.79

HSC

Arunachala

Matric Higher

Sec School,

Kurinjipadi

State

Board

2015

76%

SSLC

Arunachala

Matric Higher

Sec School,

Kurinjipadi

State

Board

2013

93.6%

ACHIEVEMENTS

Won first prize in paper presentation on the topic “Applications of Artificial Intelligence To Combating Cyber Crimes” at

“IFET College Of Engineering”, Villupuram

Won Second prize in DHR Sponsored National Conference on topic “Real Time Dengue Prediction Using Machine Learning”

Won third prize in mini project on the topic “Automatic Source Changeover And Limiter” at “Sri Manakula Vinayagar Engineering College”, Madagadipet

EXTRA-CURRICULAR ACTIVITIES

Won Appreciation Award for Compering in College Fests

Presented the project in “Makkal Tholaikatchi Program”

Participated the project in “Dr. KALAM Young Achiever Award” both 2017 and 2018

Participated in College Sports day and Won first prize in carom board

Won 32

nd

rank in “Indian Engineering Olympiad Exam”

PROJECT WORK

TOPIC: “REAL-TIME DENGUE PREDICTION USING MACHINE LEARNING” DESCRIPTION:

Dengue is widely spreading endemic disease for climate zones. Transmitted to human being by an Aedes Aegyptus mosquito, dengue burden in India is increasing at an alarming rate. The contributions of increased mobility, both vector and human populations, urbanization and climate changes are most significant variables to explain the increasing outbreak of dengue. Traditionally, the various algorithms compared, it was inefficient to estimate the accuracy for early dengue disease prediction. The suggested system is to develop a model for Smart Prognosis Dengue (SPD) Model for machine learning innovation to predict real time Dengue disease. It will proceeds distinct machine learning approaches ranging from simple classifiers like Decision Tree, Logistic Regression. Consequently, the Logistic Regression Algorithm gives the maximum precision accuracy will examine for the dengue prediction. By using both the hardware and software configuration, it incorporates the machine learning concepts with prediction algorithm and also provides the system can be customized to generate risk alert and location-specific predictions. ALGORITHM : Logistics Regression Algorithm

METHODOLOGY: The datasets contains patient history of past information about counting the dengue cases observed every month for 2018 years in many number of states. It contains details about the dengue symptoms like Fever, Blood Platelets, Temperature, Fatigue, Vomiting, and so on. Datasets by using Logistic Regression Algorithm and Mean Squared Error (MSE), have to find the pattern and dependencies in the given training dataset and predict number of dengue states in the test dataset.

Data Pre-Processing

Missing Values, Standardization

Nominal Values,

Integration of Raspberry PI with generates the Alert Maps PLACE :

DATE : (LAVANYA.S)

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