VENKATA GAYATRI PRATYUSHA GUNDUGOLA

+1-716-***-**** ac8cwr@r.postjobfree.com linkedin.com/in/pratyusha-gundugola Actively seeking full time opportunities starting January 2019 PROFESSIONAL SUMMARY

Exceptionally focused and reliable individual with an outstanding work ethic and knowledge. Strong coding skills and emphasis on quality. Adept at understanding complex development concepts and processes. Able to work well independently or as part of a team.

EXPERIENCE

Sim Infotech, California, U.S.A April 2018 - Present Java Developer

Tools & Technologies - Java, IBM/ODM Rules, JDBC, Spring Framework, Oracle SQL, XML, GIT, JIRA, BitBucket Sharepoint, Adobe LiveCycle, Oracle WebLogic, Shell, Eclipse

Working with Accenture in the LEADER Replacement System (LRS) Project.

Primarily work with Java and GIT for source code development and management.

Proficient in software life cycle development and testing of complex commercial applications using Object- oriented Java and J2EE technologies.

Experience with Core Java, Sping MVC, I/O streams, Multithreading and Collections framework.

Experience with JDBC frameworks to enable Java & SQL interactions.

Extensive use of Oracle/SQL for database management.

Use of Maven and Gradle for build automation.

Experience with IBM/ODM rules for business triggers.

Experience with JIRA and BitBucket for issue tracking and product management.

Experience with SOAP UI for testing web applications.

Configured Weblogic 12.1.3 Server for deploying web and business components.

Experience with Adobe LiveCycle in designing web applications.

Incidents tracking and resolution using the ServiceNow Service Management application. CERTIFICATIONS

Udemy Certification - Complete Java MasterClass by Tim Buchalka SKILLS

Programming Languages: Java, SQL, Python, R, C, JavaScript, HTML/CSS, XML, Shell Operating Systems: Windows, Linux, Unix

Tools & Technologies: IntelliJ, Eclipse, PyCharm, Git/GitHub, Soap UI Web Service, Oracle WebLogic, Adobe LiveCycle, Spyder, Visual Studio, R Studio, Enthought Canopy, Anaconda, Jupyter Notebook, TensorFlow, NetBeans, and Adobe Photoshop

EDUCATION

University at Buffalo- State University of New York (SUNY), USA M.S. (Master of Science) in Computer Science and Engineering December 2017 SRM University, Tamil Nadu, India

B. Tech. (Bachelor of Technology) in Computer Science and Engineering May 2016 PROJECTS

Locally Differentially Private Protocols for Frequency Estimation (Python, PyCharm, Jupyter) Fall 2017 Implemented protocols satisfying LDP, enabling parties to aggregate information about a population while protecting each user’s privacy, without relying on a trusted third party. Machine Learning (Python, TensorFlow, Jupyter Notebook) Spring 2017 Implemented a Multilayer Perceptron Neural Network (NN) and evaluated its performance in classifying handwritten digits. Also, used a Support Vector Machine to perform classification on the same dataset. Compared the performance of the NN against a deep NN using the TensorFlow library. Further, experimented the MNIST dataset with Gaussian discriminators and different types of regression.

Big Data Analysis using Hadoop (Java, Hadoop) Spring 2017 Implemented word count on tweets of a given topic and classical Latin text using pairs and stripes method in Hadoop MapReduce. Solved the word co-occurrence among multiple documents for n-grams and scaled it up to big data. Analysis of Twitter trend using R (R, Twitter, Jupyter Notebook) Spring 2017 Applied statistical modelling and data mining techniques for analysis and visualization of geospatial information extracted from tweets using geo-map libraries in R, Twitter REST API and Twitter library. Data Cleaning and Munging (R, Jupyter Notebook) Spring 2017 Extracting data from Kaggle European soccer dataset and persisting the data into CSV files through R data frames to facilitate easy data analysis. Further, performed cleaning and munging on raw data in Pew dataset to answer self-developed questions on various issues related to the dataset. Disparity in Stereo Vision (Python) Fall 2016

Implemented the Block Matching and Dynamic Programming algorithms and worked on minimizing the mean square error (MSE) in both techniques by varying parameters with respect to ground truth disparity maps. Modern Networking Concepts (C, NS-2, Linux) Fall 2016 Designed a client - server model with TCP sockets to handle multiple connections using socket programming. Evaluated various tasks between multiple clients and server. Implemented the Bellman - Ford algorithm. Implemented and evaluated the performance of a wireless MAC (Medium Access Control) random transmission protocol for sensor networks using network simulator (NS-2).

Multicast Routing in Wireless Sensor Networks (TCL, NS-2) SRM University 2016 Developed an application background for multicast routing protocols to increase the performance and quality of WSN in near future.