Monika Sharma is seeking a programmer/analyst position and has included her contact information, education history, skills, and projects. She has a B-Tech from Indian Institute of Information Technology, Allahabad with 7.97% and studied at K.V. No-1, Ghaziabad schools. Her skills include C, C++, SQL, MATLAB and she has completed projects in airline booking systems, fake face detection using texture analysis, Parkinson's disease classification using gait analysis, and Java games.

1. Monika Sharma
Mobile Number: 7897574736
Email Address: iit2011200@gmail.com
Objective:
Seeking a Programmer/Analyst Position that will provide me with the opportunity to develop
skills in software design and utilize my analytical and database design abilities.
LinkedIn:
https://www.linkedin.com/pub/monika-sharma/86/baa/511
Education Qualification Percentage
B-Tech
2011-2015 Indian Institute of information technology, Allahabad 7.97
Senior Secondary Examination-Class XII
2009-2010 K.V. No-1, Hindon, Ghaziabad, UP 91.0
Senior Secondary Examination-Class XII
2007-2008 K.V. No-1, Hindon, Ghaziabad, UP 85.4
Area of interest:
1. Machine learning and data mining
2. Programming
3. Android Apps
Software Skills:
1. Operating system – Ubuntu, Windows
2. Languages – C (Advanced), C++ (Advanced), SQL (Intermediate)
3. Google SketchUP – 3D Modeling Suite (Intermediate)
4. Star UML – Open UML/MDA Platform for software engineering (Proficient)
5. MATLAB (Proficient)
6. WAMPSERVER Server (proficient)
7. Netbeans and Eclipse SDK
8. Devc++

2. Projects:
Title: Airline Booking System
Duration: 4th
semester
Status: completed
Technology Used: Oracle/Access, Java, JDBC for Oracle Connectivity
Description: this application provides services for watching out flights for a particular
destination with different timings and different routes. It provides the clients for booking of
seats and termination of seats.
Project Guide: Prof. O.P. Vyas
Title: Detection of fake faces and real faces using texture analysis (in image processing)
Duration: 5th
semester
Status: completed
Technology Used: MATLAB
Description: this is a research project. It basically focus on distinguish between real and fake
images. We have done preliminary test. The test is as follows.
a. We have used wavelet transformation (we use haar wavelet for this) on training images.
Then we have done testing by Bayesian classification (69.8%) and Radial basis neural
network (70.88%).
b. we have applied the local binary pattern on training images. After that fourier transform
on transformed image. Then we have done testing by radial basis neural network
(75.62%).
Project Guide: Prof. G.C. Nandi
Title: A statistical analysis of time series gait pattern for the classification of Parkinson
Diseases and Non- Parkinson Diseases
Duration: 6th
semester
Status: completed
Technology Used: MATLAB
Description: this is a research project. We have data set which have 8 sensor values both for
right and left leg of a person. We use first order statistics. They are kurtosis, mean, skewness,
standard deviation, variance, mode and median for each of the 8 sensor values for each gait
cycle. Then we have taken four features from among the first order statistics. They are

3. skewness, variance, mode and kurtosis. Then for testing purpose, we have used the following
algorithms:
a. Bayesian classification
b. PNN (Probabilistic neural network)
c. Support vector machine
We got better results from PNN
Project Guide: Prof. Pavan Chakroborty
Title: Java Applet Game
Duration: 4th
semester
Status: completed
Technology Used: Java, Netbeans
Description: this is a basically a simple game in java applet. In this game, the ball is avoid to
touch with the walls. If the ball touch with the walls, the score will reduce. When the score is
more, the client is moved to next level with increased speed of ball moving here and there. Here
we have three level. This game is designed with the intention to see the concentration power of
the client.
Project Guide: Prof. O.P. Vyas
Title: analysis of Parkinson and Non- Parkinson gait cycle
Duration: 8th
semester
Status: completed
Technology Used: MATLAB
Description: this is a machine project. Here we have taken the vertical force reaction of both
left and right leg. The normal person gait cycle has two peaks and mid stance force. They are
called heel-strike force, toe-off force and mid stance force. Also stance time is also taken. We
have these four values from each of the gait cycle. By using one way ANOVA test to select the
best three features from among the four features. Then we apply PNN for classification. We
also compare it with the ANN( Artificial neural network. We get better results from PNN.
Project Guide: Dr. Shekhar Verma

4. Personal Details:
 Date of Birth : 10.08.1992
 Mobile Number : 07897574736
 Alternate Number : 09957780078
 Nationality : Indian
Declaration:
I hereby declare that the details provided by me in this resume are correct and I have knowingly
not omitted/ misrepresented any information. I am aware that the company can use this data for
verification purposes and any material inconsistency identified between the details shared above
verses actual information would have a bearing on my employment, based upon company policies.
Date: 1.08.2015
Time: 8:00 PM
Place: Allahabad
Signature: Monika Sharma