* 10+ years experience developing Statistical Data Analytics, Data Mining, Text Mining, Machine Learning, Knowledge Discovery for building classification and predictive models on Big Data.
* Have worked extensively on developing Bayesian classifier and predictive models using SVM, Decision trees and Neural Networks for IMDB movie database(Movie Ratings prediction and Movie Genre classification), Malware Classification and Product Classification, clustering algorithms(K-means, SVD) for categorization and segmentation and citation analysis ( markov-model ) on Scholarly research article using bibilographic referential connection and linkage structure(used HMM).
* Have independently completed the projects undertaken before in developing Machine Learning, Data Mining, Analytics, Trend Analysis, Reporting, Dashboard and Statistical Tools.
* Extensive experience using Perl, PHP, C, Java, .NET with MySql, Oracle, MS-SQL Server
* Data Mining Machine Learning Tools : Weka, R, Yale, RapiMiner, Excel, SVM-light.
It would be useful if more information can be provided regarding the "training" and "test" dataset for training and building classification models [ a sample of each of them and the size of the final test dataset that will be run on the classification models ].
Estimated Budget : ~ 5000 USD ( Timeline : 25 days )
Price,milestones and timelines flexible and negotiable based on exact project specifications and details.