SRI ANUSHA VEERAMACHINENI

Los Angeles, CA 614-***-**** ac6ehq@r.postjobfree.com

https://www.linkedin.com/in/sri-anusha-veeramachineni-303a96b8/ EDUCATION

University of Southern California, Viterbi School of Engineering – Los Angeles, CA May, 2018 Master of Science, Computer Science

Osmania University – Hyderabad, Telangana May, 2016 Bachelor of Science, Computer Science Engineering

SKILLS AND INTERESTS

Programming : C, C++, Java, Python

Tools : Amazon Web Services, Eclipse, NetBeans, SQLite, Spatialite, Weka, Apache Tinkerpop, Hadoop, Git, Google Cloud Services, JIRA

Web Technologies : PHP, HTML5, CSS3, Bootstrap, Android, JavaScript, jQuery, JSON, AngularJS, REST API, XML Database : PostgreSQL, Post GIS, SQLite, MySQL, Oracle 11g, NoSQL, SQL, Gremlin Platforms : Linux, Unix, Windows, MAC

EXPERIENCE

Directed Research Assistant, USC January, 2018 – Current

• Working in the NLP team for “Kashflow”, a money management application to keep track of the financial transactions and get offers from various financial institutions.

• Improved the F1 score of the CRF model by 8%, by implementing Stochastic Gradient Descent (SGD) with L2 regularization and Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method. Data Engineer Intern, Frenzy May, 2017 – August, 2017

• Developed features for Frenzy website plug-in, which helps users to find deals to purchase a product on browser

• Involved scraping content from various fashion websites, retrieving size and images of the product and developing front end of the company website

Directed Research Assistant, USC January, 2017 – May, 2017

• Worked as UI/UX developer on project “Mighty Host”, leveraging existing assets and local economy to expand revenue streams of a person and get the best rate for the rentals, synchronize them across different platforms with single sign on.

• Developed Android and iOS applications, where the user can check for the cars to rent and the deals to rent a car. PROJECTS

Course Allotment System based on preference and experience of faculty (Java, SQL, MySQL, HTML, Bootstrap)

• Co-led a team of four to automate course allotment to faculty based on their preference and experience.

• Improved the performance of the application by using a smart matching algorithm whose goal is to check the depth of experience, preference and match the results to the requirement. Server-side scripting using Facebook Graph API and Android App (Java, HTML, CSS, JavaScript, PHP, JSON, AJAX, Angular JS, jQuery, AWS, Facebook Graph API, Google Geocoding API, Android Studio)

• Developed a responsive website and an android app that allows users to search for information about a set of Facebook entities.

• Facebook Graph API and Google Geocoding API were used to retrieve the information and the website was hosted on AWS. Inverted Index for Project Gutenberg corpus using Hadoop Cluster on Google Cloud (Java, Google Cloud, Hadoop)

• Created an Inverted Index of words occurring in a collection of 3,036 English books acquires from Project Guteberg corpus.

• Performed Hadoop job on the buckets of Google Cloud storage containing these books. Cross-lingual Parts of Speech Tagger in Kannada using Telugu (Python)

• Developed cross language part of speech tagger using Hidden Markov models and Conditional random fields to model these and compared their performance.

• Achieved an efficiency of 60% for HMM and 52% for CRF. Search Engine using Solr (Apache Solr, PHP, Java)

• Developed a search engine using solr. The search engine uses Lucene’s PageRank algorithm and fetches the top 10 results.

• Implemented spell correction and auto suggestion features for search engine. Geospatial Data Visualization (SQL, KML, GOOGLE EARTH, SPATIALITE)

• Modelled geospatial data through KML files and visualized it using Google Earth.

• Computed convex hull that identifies 9 effected areas around a particular location, during a security outbreak. LEADERSHIP

Graduate Student Mentor, USC Viterbi School of Engineering Campus Ambassador, Twenty19 Organization

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