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Click here or scroll down to respond to this candidate Candidate's Name
Email: EMAIL AVAILABLE
Mobile: PHONE NUMBER AVAILABLE
Career Objective
To secure a challenging position where I can effectively contribute my skills and ensure my growth through
the organizations growth, possessing competent technical skills.
Profile Summary
An enthusiastic fresher with highly motivated and leadership skills having Masters degree in Computer
Science.
An innovative thinker, initiative taker and multidimensional professional with exceptional logical and
analytical skills.
Eager to learn new technologies and software methodologies.
Strong written and verbal communication skills.
Technical Skills
Databases: Oracle 10g, MS SQL Server
Languages: SQL, PL/SQL, C, C++, C#, JAVA concepts, HTML
Environments: Eclipse, Code Blocks, Visual Studio
Operating Systems: Windows, UNIX
Areas of Interest: Programming, Operating systems, Database management systems.
Education:
Masters in Computer Science from University of Wisconsin Milwaukee.
Bachelor of Technology in Computer Science from JNTU Hyderabad.
Academic Projects:
Classical Synchronization Problems:
This project is related to implementing Operating Systems Concepts. These problems are analogous to the common
problems that occur in operating systems. Here, we employ the synchronization constraints to different problems
based on the problem statement and intuition. By employing synchronization constraints, the threads execution in
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multithreaded process becomes consistent. We will be discussing a set of classical synchronization problems and
write the C and JAVA programs that actually reflects the functionality of the classical synchronization problem
from the Little Book of Semaphores. I created a visualization window for the easy understanding of the
concurrency control between threads using the visual studio and C#.
Solution Environment: Visual Studio, C, C#, JAVA Languages.
Key Responsibilities:
Providing the basic problem description.
Describing the synchronization constraints needed to enforce the concurrency control.
Preparing the programs that actually depict the problem solution from the synchronization constraints.
Final presentation.
Clinical Document Classification for Three Types of Documents:
Diagnosis, Test & Treatment using POS Tagging Similarity
This project is related to implementing Natural Language Processing concepts. This classification system using
NLP technique has been designed for the TREC Clinical Decision Support Track next year. Classification of
documents has been useful in rescoring retrieved results by query types; Oh & Jung (2015) adopted Wikipedia to
collect concepts based on International Classification Disease (ICD10) while selection of appropriate key concepts
had been conducted using Unified Medical Language System (UMLS). Choi & Choi (2014) used two task classifiers:
therapy vs. nontherapy and diagnosis vs nondiagnosis.The Retrieved documents by IR system could be categorized
into diagnosis, test, and treatment types, which will be used in reranking the result. The effectiveness of selected
features might give insight for its variation and combination with other methods.
Solution Environment: NLP techniques, Python.
Key Responsibilities:
POStagged documents analysis to identify the features making distinction among document types, literature
review.
Demo design (if needed, web design for demo)
Final report
Submission (integration of all results)
Movie Rating Prediction:
This project is related to implementing Machine Learning concepts. Our project idea is to predict the movie rating
of movies collected from IMDB. We define features from the data collected through IMDB and use Google trends
and Google Ad Words to prepare the final dataset to be classified. We then classify the movies (good or bad rated)
implementing the Supervised Machine Learning techniques of Logistic regression, SVM (support vector machine)
and Multilayer perceptron.
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Solution Environment: ML Techniques, Matlab.
Key Responsibilities:
Collecting IMDB data and feature selection.
Dataset preparation using Google Trends and Google Ad Words.
Implementing Logistic regression over dataset.
Tucker Auto Dealership (TAD) System:
This project is related to implementing Software engineering concepts. TAD is a car dealership company which has both
old and new cars in its lots. A new car is bought from the manufacturer by placing a purchase order and old cars are the
tradein cars from the customers. The business units in my business are front desk staff, sales people, inventory staff, finance
manager, general manager, and sales manager.
Solution Environment: Android, SQL, SQL server.
Key Responsibilities:
Understanding the requirements of project.
Analysing the use cases, Use Case Specifications and preparing the UseCase Model .
Creating the Analysis Class Diagram.
UI/UX Designing and Prototyping.
Modelling the Sequence Diagram.
Awards and Achievements
I am a part of GIRLS WHO CODE event as a volunteer for training classes in UNIVERSITY OF WISCONSIN
MILWAUKEE.
Participated in technical events in Swarna Bharathi Institute of Technology and Sciences.
Participated in ANDRIOD workshop in Laqshya Institute of Technology and Sciences.
Participated in Code Debugging technical event in a national level fest at Laqshya Institute of Technology and
Sciences.
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