Implementing a new recommender system algorithm

Hi, You are looking to develop a new algorithm based on holonic multi-agent systems for an improved implementation of a collaborative recommender system. In particular, you want to use Hadoop to develop the system. I have experience with both Hadoop and collaborative recommender systems and can help you implement this system as you envision it. Hoping to collaborate on this project. Regards, Chris

4+ years of experience in software development, Analysis, Testing, maintenance of web based Applications and Big Data Hadoop applications. 3+ Experience in Big Data Hadoop ecosystem and its components like HDFS, Map Reduce, Apache Pig, Hive, Sqoop, NoSQL. Experience in building computing algorithms that scale to large datasets. Expertise on Unix Scripting, Apache Phoneix,Flume languages. Involved in writing the Pig scripts to reduce the job execution time. Involved in implementation of Shark on Spark Fastest data processing tool in Hadoop. Experience in Machine Learning languages. Having experience on creating databases, tables and views in HiveQL.  Efficient in building Hive and Pig scripts. Excellent communication, interpersonal, analytical skills, and strong ability to perform as part of team.

Hello, im new to freelancer and i found your project interesting. I'm pursuing masters at the university of nevada, las vegas and also i work for big data hub lab at unlv. Recommender systems is an interesting topic and i want to explore it through this project. Please give me a chance to work. Thanks

a new freelancer . a chance a lucky