Java, JEE, SQL, Hibernate, HTML, JavaScript, Eclipse, Apache Tomcat.

MOUNIKA THASILA

Email : *****************@*****.*** Mobile.no : +91-837*******

CAREER OBJECTIVE:

Seeking a challenging and rewarding opportunity with an organization of repute which recognizes my true potential and effectively utilizes my technical skills in IT industry Software.

THECHNICAL SKILLS:

Programming Language : JAVA, SQL

Technologies : J2EE (Servlet&JSP)

Web Server : Apache tomcat

Database Server : Oracle

IDE : Eclipse

Web Technologies : HTML, JavaScript.

TECHNICAL KNOWLEDGE:

JAVA

OOPS

Collection framework

Strings & String Buffer.

Exception Handling

Multi-Threading

JEE

JDBC Steps

Statement and Prepared Statement Interfaces.

execute, executeUpdate and executeQuery .

Create, Update and Delete a record from the Database Server.

Servlet Life Cycle.

HTTPServlet.

SQL

SQL Sub languages

Special operators.

Function.

Joins.

TRAINING/CERTIFICATIONS:

Trained on Java, Inetsolv Technologies at Hyderabad, Dec 2020.

SOFT SKILLS:

Willingness to learn new things.

Adaptable in any working environment.

EDUCATION DETAILS:

MCA from Yogi Vemana College, Yogi Vemana University in the year 2020 having CGPA 8.3

B. Sc (MECs) from Sri Venkateswara Degree and PG College, Sri Krishnadevaraya University in the year 2017 having 86%.

Intermediate (MPC) from Sri Sai Junior College in the year 2014 having 77%.

SSC from Z.P. High School in the year 2012 having CGPA 7.8.

ACADEMIC PROJECT:

Project Name: Authenticated Outlier Mining for Outsourced Databases

Project Duration: December 2019 to March 2020

Environment: Java/J2EE and MYSQL.

Project Description:

Outsourcing, however, raises some issues about result integrity how could the client verify the mining results returned by the server are both sound and complete. In this we focus on outlier mining, on correctness authentication, which may incur much space and communication. The artificial outliers (AOs) and artificial non outliers (ANOs) are used by the client to detect any incomplete or/and incorrect mining results with a probabilistic guarantee. The main challenge that we address is how to construct ARs so that they do not change the non-outlierness of original records, while guaranteeing that the client can identify ANOs and AOs without executing mining. Our implementation and experiments demonstrate that our verification solution is efficient and lightweight.

CO-CURRICULAR ACTIVITIES:

Key role as a Team Leader in academic project.

I had taken responsibility as a lady’s representative in college.

Participated in shuttle competition at high school level.

Won singing competition during Intermediate.

HOBBIES:

Listening Music

Watching Movies

PERSONAL PROFILE:

Father’s name : T. Purushothama Reddy

Mother’s name : T. Shankaramma

Date of birth : 16th May 1997

Languages known : English and Telugu.

Sports : Badminton.

DECLARATION:

I hereby declare that the above written particulars are true to the best of my knowledge and belief.

Place:

Date:

(THASILA MOUNIKA)

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