Descriptive Analitycs - Apache Spark/Hadoop

Hi I am a very experienced statistician and programmer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, WEKA, TABLEAU, Hadoop, Java and excel tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

Hi, we are a team of Hadoop and AWS developers and would be interested in performing this job for you. Would you mind telling us a bit more about the project? Thanks in advance. Regards

Hi I am Deepak here based out of Singapore. I am an IT professional with 10 years of experience in IT technology. I have worked on various technologies stack particularly in Java and Spring from back end to front end. As of now I have been exploring in Big data world and have sound knowledge in Apache Hadoop, Hive and Apache Spark on Cloudera platform. I have some exposure to python as well. I hope given the opportunity, I can meet your requirement professionally and with best quality. Below is my technology skills in summary. Java, J2EE Spring Framework, Vaadin, Java, JUnit, Mockito, RESTful API Spring Framework Spring MVC, Spring Boot, Spring AOP, Spring Batch ORM tools & Databases Hibernate, iBatis/MyBatis, Mysql, Oracle, SQL Server Front end technologies Jsp, JSTL, Java Script, jQuery, HTML, CSS, Ajax, Backbone.js Big Data Apache – Spark/Kafka/Zookeeper/Hive, Impala, Hadoop Amazon Web Service-AWS EC2, IAM, S3, Redshift, RDS and other services.

Hi there, I have been working in the Hadoop framework for over 3 years now. Hadoop has changed a lot from what it was in the initial years. From a mere low cost solution for large dataset storing via HDFS and analysis via MapReduce to a myriad of applications that is constantly evolving. The most used tools in the Hadoop ecosystem now a days are Spark (in memory proccessor that is slated to be the replacement of Mapreduce), Hive (the default database for the hadoop ecosystem tools), Impala, R, pig, Hbase etc. But the actual set of big data tools depends on the exact requirement of the project and the expected outcome. I am currently working in a few big data projects in my company and can surely help you to in your project as a Big Data Architect. Most of the so called "Top Bids" that you are seeing with some amount of "reviews" in them are NOT actually "Hadoop Reviews" that they have. Its the other common keyword like "Java" that you have used in your project tagging that has thrown up reviews in them. If you look into their reviews you will understand what I am talking about. I also don't have a single Hadoop reveiw in my profile. I have been an active freelancer from 2009 to 2012, but inactive for the last 5 years. Now I have decided to make a comeback. I have extensive experience in the Hadoop ecosystem and if you award me this project I can get my FIRST Hadoop review here in Freelancer.com .Looking forward to hear from you Thanks, Souvik