Resume

G.Venkatesh Prabhu, ME.

Research Scientist

SUMMARY

Six years of experience in professional research and development field. Currently working as a 'Research Scientist' in "Checktronix India Private Limited" (a "Burning Glass Technologies" company), Chennai. Having strong understanding in the field of machine learning. Having the capability of involving and managing research oriented projects, generating new ideas and innovations, demonstrating ability and experience in designing and programming for large scale datasets and expertise in the following areas.

Expertise in Business Intelligence, Data/Text/Web Mining, Machine Learning, and Artificial Intelligence. Strong involvement in, the Data/Text/Web Mining and Machine Learning Research Community.
Strong team leader having built and managed engineering teams during periods of dynamic growth and recession. Established ability to attract and retain excellent engineers, even in challenging circumstances.
Strong technical design and programming skills, along with a desire to provide technical mentoring and growth for individual contributors. Continually seeks out relevant and applicable new technologies.
Information Discovery and Retrieval - Learning, navigating and manipulating structure and information in unstructured or semi-structured document bases.
Text and Pattern Classification - Preprocessing techniques (Feature Selection, Feature Evaluation, Feature Transformation), Classification Techniques (Statistical and Soft computing Techniques for classification), Multi-Class and Multi-Label classification, Performance Evaluation Techniques, Classifier Fusion Techniques.
Recommender Systems, Opinion Mining and Social Network Mining.
Predictive Modeling - Predicting truths from historical data sets. Finance, Market and CRM related Fields.
Statistical Learning methods and Soft Computing - Applying statistical learning and soft computing methods in software projects - Bayesian, neural networks, nearest neighbor, clustering, SVM, decision trees and evaluation of statistical learning methods like boosting and bagging.
Data Mining - Applied data mining and web mining.
Expert System Development - Rule based and case based expert system development.

EDUCATION

Masters in Computer Science and Engineering (ME), Anna University, Chennai.
Bachelor in Computer Science and Engineering (BE), Madurai Kamaraj University, Madurai.

EXPERIENCE

Working as a 'Research Scientist' in Checktronix India Pvt Ltd (a Burning Glass Company) from 2004 November.
Worked as a Teaching Associate during my Masters.

RESEARCH WORKS

Information Retrieval and Extraction

Rule based Information Extraction from Text.
Automatioc Ontotology Generation from Text Documents and Ontology based Retrieval.
Industry Specific Matching Models and Functional Classification of Resumes.
Language Classification.
Training Set Extraction from large document collections.
Document Scoring Engine Design.
Keyword Relevancy system design.
Automatic Keywords Clustering.

Business Intelligence and CRM Related

Credit Scoring.
Market Basket analysis.
Customer Relationship Management.
Web Click Stream Analysis.
Profiling Website Visitors.

Other Data Mining and Machine Learning Projects

Spam Classification.
Network Anomaly Detection.
Automated Plagiarism Detection.
Product Recommendation system.
Semantic Search Engine development.
Rule based Document Retrieval.

Projects Guided

Automatic Plagiarism Detector.
Bayesian Text classifier.
Topic model based text classifier.
Rule based Expert system development.
Gene Expression Analysis.
Product Catalog Search Engine.
Recommender Systems.

SKILLS EXPERTISE

LANGUAGES : C, C++, Core Java, Python.
SCRIPTING LANGUAGES : Perl ,Ruby, Linux shell scripting.
AI LANGUAGES : Prolog, Lisp, CLIPS.
UNIX POWER TOOLS : Lex, Yacc, Awk, Sed, Make.
SCIENTIFIC LANGUAGES : Matlab, SAS, Octave.
OPERATING SYSTEMS : Windows, Linux.
DATABASE : MYSQL.
DATA MINING & MACHINE LEARNING TOOLS : WEKA, LIBSVM, SVMLIGHT, PCP, MLC++, FANN,GALIB.

DOMAINS EXPERTISE

Artificial Intelligence.
Machine Learning.
Neural networks.
Genetic algorithms.
Fuzzy Logic.
Data mining (Applied Data mining).
Pattern and Text Classification.
Text segmentation (HMM).
Question-Answering systems.
Natural Language Processing.
Search engine development and Web Mining Research.
Recommendation systems and Opinion Mining.
Information Architecture.
Statistical Modeling.
Expert System Development (Rule-Based & Case-Based Systems).
Bioinformatics.
Software Engineering.
Operating systems.

OTHER RESEARCH ACTIVITIES

Running a community called "Applied Research in Soft Computing" (ARSC) for applied Soft Computing Research activities. We are involving in the real world application oriented tools development using soft computing techniques. I am actively involving in the following research activities.

greenMine - Agricultural Expert system development.
KML Design - Knowledge Modeling Language Design.
OpinioZ - Mining customer opinions and generating recommendations.

Delivering Guest Lectures to various Engineering college students and "Staff Development Programmes".

RESEARCH PUBLICATIONS

International Publications

1. G.Venkatesh Prabhu and Prof.S.S.Sridhar, "Adaptive Document Classification", Proceedings of the International Conference on "Trends in Computer Science and Engineering", held at Dr.M.G.R. Educational Research Institute, Chennai in May 2004.

2. Sudarsun Santhiappan, Venkatesh Prabhu Gopalan, and Sathish Kumar Veeraswamy," Role of Weighting on TDM in Improvising Performance of LSA on Text Data", IEEE INDICON 2006.

3. Sudarsun S, G.Venkatesh Prabhu, Valarmathi B, "Topic Models based Personalized Spam Filter", Proceedings of ISCF 2006, pp. X-X, 2006

4. Sudarsun S, Venkatesh Prabhu, "Finding Optimal Rank for LSI Models", Proceedings of ICAET 2010, pp. 2010