1. Sravya Panganamamula
2661B, Park Doral Apartments, E.7th Street, Bloomington, IN 47408
vpangana@umail.iu.edu | (812)361-4363 | www.linkedin.com/in/sravyasai
EDUCATION:
Master of Sciences in Computer Science May 2017
Indiana University, Bloomington
Current GPA: 3.6
Bachelor of Technology in Computer Science May 2015
CVSR College of Engineering, Hyderabad, Telangana, India
Cumulative GPA: 3.5
TECHNICAL SKILLS:
Languages: Python, Java, JavaScript, JQuery, R, PHP, XML, HTML, CSS, Bootstrap, JSON, AJAX, Angular JS, SQL, LaTeX
Software and Frameworks: Oracle 10g, MySQL, GitHub, Microsoft Office, Apache Tomcat, WordPress, DOUG, DMS, Eclipse
IDE, PyCharm IDE, Cucumber
Certification: MySQL by Spoken Tutorials – IIT Bombay January 2014
Certification: Microsoft Technology Associate August 2013
Certification: Microsoft Certified Professional August 2013
Certification: Java Programming by IIT Bombay July 2013
Certification: Aakash Android Programming by IIT Bombay March 2013
PROFESSIONAL EXPERIENCE:
Siemens PLM Software, Milford, Ohio, USA June 2016 – August 2016
Software Engineering inter
Cucumber automation, JavaScript, CSS3, HTML5, Java7, Angular JS, JSON
Imbyou India Private Limited, Hyderabad, India January 2014 – March 2014
Web Design Intern
HTML, CSS, JavaScript, SQL, Bootstrap
PROJECTS:
Presented a paper on “Comparative Analysis of Web Page Ranking Algorithms” April 2016
Performed OLAP Analytical Query Benchmarking on Yelp Dataset (Python, Ansible, Pig, Hadoop) April 2016
 Analyzed the performance of Hadoop clusters for different reducer configurations
Developed an ICC Cricket match outcome prediction system (Python, Beautiful Soup, Tableau) April 2016
 Scraped data from ESPN CricInfo website, using Beautiful Soup, to create a dataset for the model
 Performed data preprocessing on the obtained dataset
 Performed visualization of data and obtained four interesting visualizations using Tableau
 Created a Naïve Bayes classification model with an accuracy of 72%
Developed an association model using Apriori Algorithm (Python) March 2016
 Performed association on three very large datasets (10000 data points) obtained from UCI machine learning
repository
Developed a classification model using decision trees (Python) February 2016
 Performed classification on ten different datasets obtained from UCI machine learning repository
Developed a website “CompareNSave” (HTML, CSS, Bootstrap, JASON, JavaScript, PHP) December 2015
 Application’s primary functionality is to enable the user to compare prices of groceries of three different stores
 Created JASON data files consisting of grocery price information of three different stores
 Incorporated maps feature to enable the user to learn directions to any particular store
 Implemented admin feature and contact us feature using which the user can send feedback to the admin by email
Developed a web application “Grammar Gremlins” (HTML, CSS, Bootstrap, JavaScript, PHP, MySQL) December 2015
 Application’s primary functionality is to enable the user to create an interactive quiz
 Application was developed for English teachers who can help students learn synonyms, antonyms, and parts of speech
 Obtained requirements from the client, created SRS document, design document, wrote test cases and performed
testing
Developed a Web Application “Web based meeting scheduler” (JDK, Apache Tomcat, Oracle 10g) March 2015
 Application’s primary functionality is to enable the user to schedule meetings inside an organization
 Implemented user and admin features for efficient usage
Developed an Android Application “ERASER” (Android SDK, Eclipse IDE, Java) November 2014
 Application’s primary functionality is to enable the user to delete a choice of call logs, messages, contacts, and default
browser history by a single click