Java, python, html,sql

CAREER OBJECTIVE:

To join an organization where I can enhance my skills and explore my talent towards my company’s growth with job satisfaction.

ACADEMIC QUALIFICATION:

Course

Institution

Board/

University

Year of Completion

Percentage

%

MCA

Sri Venkatesa Perumal College Of Engineering & Technology,Puttur.

JNTU Anantapur

2020

86

B. COM

(C.A)

Seshachala Degree College, Puttur.

SVU

Tirupati

2017

90

Higher Secondary

Masterminds Commerce Junior College, Guntur.

Intermediate Board of Education

2014

88

Secondary School

Vedavyasa Vidhya Niketan, Puttur.

State Board of Secondary Education

2012

92

TECHNICAL SKILLS:

Languages : C, Java, Python and Machine Learning.

Web Technologies : Html.

Databases (DBMS) : MySQL.

Packages : MS-Office.

Operating System : Windows.

AWARDS AND ACHIEVEMENTS:

Awarded a certificate for participating 24 hour Hackthon program at SVCE,TIRUPATI.

Participated in python basics workshop.

EXTRA CURRICULAR ACTIVITIES:

Performed as a Co-ordinator for the “Avishkar” event organized in the SVPCET College, Putur.

WEB PROJECTS

Project title : A Machine Learning Framework For Domain Generation Alogithm(DGA)-Based

Malware Detection

Duration : 6 Months.

Team Size : 1

Platform : Python, Machine Learning.

Description :

In this paper, we propose a machine learning framework for identifying and detecting DGA domains to alleviate the threat. We collect real-time threat data from the real-life traffic over a one - year period . We also propose a deep learning model to classify a large number of DGA domains. The proposed machine learning framework consists of a two level model and a prediction model. In the two-level model.

We first classify the DGA domains apart from normal domains and then use the clustering method to identify the algorithms that generate those DGA domains. In the prediction model, a time-series model is constructed to predict incoming domain features based on the Hidden Markov Model (HMM). Furthermore, we build a Deep Neural Network (DNN) model to enhance the proposed machine learning framework by handling the huge dataset we gradually collected. Our extensive experimental results demonstrate the accuracy of the proposed framework and the DNN model. To be precise, we achieve an accuracy of 95.89% for the classification in the framework and 97.79% in the DNN model, 92.45% for the second-level clustering, and 95.21% for the HMM prediction in the framework.

PERSONAL DETAILS:

Father’s Name : Mr. M.Bhaskar

Date of Birth : 19-09-1996

Gender : Female

Marital Status : Single

Languages Known : English, Telugu.

Hobbies : Listening Songs, Internet Surfing.

DECLARATION:

I hereby declare that the above mentioned particulars are true to the best of my knowledge and belief, and if provided an opportunity in your esteemed organization, I assure you of my best services at your disposal.

Date :

Place : Bangalore M Novitha

M.NOVITHA

House No: 9,Beereshwara Nagar,

Chunchaghatta Main Road,Konanakunte Post,

Bangalore-62.

*************@*****.*** +91-949*******

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