Data Mining, Data Processing on Amazon Web Services

Dear Employer, I am having more than 3.2+yr experience with in IT industry with machine learning in big data mahout , HBase, Impala , naive map reduce with analysis different data set and different file formats. I have gone through the requirement and I had similar experience in past. Also have hands on developed several recommendation system using big data using different frameworks mahout(big data) and crab with python. Proficiency in different scaleless tools on top of hdfs i.e Impala,Hive,Pig,Sqoop,Spark Also have expertise in R,Python,Java,Scala Certifications and awards:- Cloudera Hadoop Big Data Developer. Coursera Data Science specialization in statistical learning and machine learning. Microsoft SQL server MCTS SPOJ world rank less than 1374 I have been developing web services on top of big data plat form using Hadoop for a MNC. So, I feel I am the right candidate for this work because of having major experience in big data and hadoop HDFS and developing recommendation on top of hadoop. Here this project has multiple things UI and backend(big data store) and there has to be a seamless integration between these two also I have few question in mind if you have time we can discuss on those. Bid can be negotiable after discussion. One more thing money is not important for me thing that matter s for me is satisfaction of client and I mean it. I am waiting for your response if you feel I am the right guy. Thanks,

I have thorough experience on various cloud and big data technology like Oracle Public Cloud, AWS, Google App Engine, OpenNebula, Openstack, Hadoop, Map-Reduce etc. I have also developed hybrid cloud project for plagiarism detection using google apps, Rackspace and EC2. I have used and customized these toolkits, for my research and development.

6+ years of experience in machine learning and master degree holder in computer science. Expertise in R,WEKA, JAVA,PYTHON, Hadoop, MapReduce. Worked on many projects in machine learning.

Hello, I have +5 year expirence in data mining and data analysist. To provide quality , accurate and supportive work.

A proposal has not yet been provided

Hi I am Apache Hadoop Developer with expertise in Java MapReduce and Hadoop ecosystem projects such as HBase, Hive, Pig etc. As per your project description, I feel Hadoop with HBase would be a great fit. HBase is great fit for tables with billions of rows and millions of columns. It also has low latency for executing queries. Let me know if you are interested. Regards

Hi , Records to the postgresql database keep adding and processing is required in real time. Hadoop should be used for processing data offline. We would suggest using apache storm which is an extension of hadoop map reduce jobs for real time processing. Searching 50 million records with postgre indexed with solr can be done. Though it will be best to have data on a multi node cassandra cluster and have multiple storm nodes process them for actual real time results , if there are issues with using two databases, storm with postgre and solr can also be used. Looks to be approximately a 6 week project if first route is taken, 5 weeks if we take the second route. These are ball park figure, actual estimates when we have all reqs in detail.

I have 4+ years of working experience in machine learning domain and have master degree in computer science. Worked on many projects mainly in Predictive analytics, Natural language language, text mining, web mining etc. Expertise in R, Python, Hadoop, MapReduce, Hbase,Hive,Pig etc.

A proposal has not yet been provided

I am quite experienced in handling this kind of projects with AWS & Big Data. I myself is a senior developer with 4.5 yrs. of experience in Java & Hadoop.

Machine learning scholar(PHD degree ), My research area includes Data mining, NLP, Image processing. My past experience in machine learning includes 8+ year in machine learning research. I have expertise in R, Python,JAVA, Hadoop, MapReduce, Hbase, Hive etc.