About Me

I am a graduate research assistant at Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), Wright State University. I am pursuing Master's in Computer Science, advised by Dr.Krishnaprasad Thirunarayan . My interests encompass Machine Learning, Big data, Software Engineering, Natural Language Processing, and Information Retrieval.

Contact Details

Venkatesh Edupuganti
kno.e.sis center
365 Joshi Research Center
Wright State University
3640 Colonel Glenn Hwy
Dayton, Ohio 45435

Download Resume

Tel : (937) 986-9256
Email : venkatesh at knoesis dot org|
   venkatesh dot edupuganti at gmail dot com

Education

Graduate Studies • August 2015 - December 2017

Masters in Computer Science, Wright State University, Dayton, OH.

Undergraduate Studies • 2010 - 2014

Bachelor of Technology in Information Technology, Sagi Rama Krishnam Raju Engineering college, Andhra University, India. Completed with distinction honours.

Research

Context-Aware Harassment Detection on Social Media

The aim of this project is to develop comprehensive and reliable context-aware techniques to glean information about the people involved and their interconnected network of relationships to determine and evaluate potential harassment and harassers. My work focuses on automatically classifying tweets containing curse words posted on Twitter into harassing tweets or not.

Experience

Research Assistant

I worked as Graduate Research Assistant (January 2016 - December 2017) at Kno.e.sis Center.

Internship

I successfully completed an internship (ServiceNow Developer Intern) at Vsoft Consulting, Louisville, KY (June 2016 - August 2016). Developed a service desk and service catalog applications for V-Soft consulting using ServiceNow tool. This application automates all the operations of service desk and service catalog tasks in V-soft consulting group.

Teaching

I worked as a Graduate Teaching Assistant for CS7100 Advanced Programming Languages in Fall 2017.

Skills

  • Programming Languages

    Java, LISP, C, C++, R (beginner)

  • Scripting Languages

    Python, JavaScript, HTML

  • Deep/Machine Learning Tools/Packages

    scikit-learn, Weka, TensorFlow (beginner)

  • Data Visualization

    Matplotlib, Seaborn, Pandas

  • Databases

    MySQL, Oracle SQL, MongoDB

  • Operating Systems

    Windows and Linux

  • Cloud Computing

    Hadoop/MapReduce (Basic)

  • IDE and Other Software

    Eclipse, Netbeans, PyCharm, Dr.Racket, MATLAB

Academic Projects

Gender Recognition by Voice using Machine Learning Techniques

The source of training data set is kaggle, which contains 3128 data points and 21 features. After experimenting with various combinations of features with various algorithms, the reduced feature set which gives the best result is found. By using reduced feature set, we are able to identify the gender with the less complex algorithm and more accurately.

Information retrieval system using Lucene

Developed an search engine using Java and Lucene for the carnfield and medline datasets. Lucene APIs are used to create a index files for the datasets. Evaluating the performance of the search engines by using the benchmark results for those datasets.

Developed Interpreter code using LISP

Developed an Interpreter code for the given grammar using List In Scheme Programming (LISP).

Coursework

  • CS 7830 Machine Learning
  • CS 7800 Information Retrieval
  • CS 7100 Advanced Programming Languages
  • CS 7200 Algorithm Design and Analysis
  • CS 7700 Advance Database Systems