Data Sciences, Enterprise application Predictive Modeling Professional
Nag currenty drives the Analytics team. He has executed & delivered a few flagship projects in the areas of business intelligence & data mining across some of the large organizations including Alcatel Lucent, Aricent Software Systems, Coginzant . Nag has the experience of handling data-intensive assignments involving millions of customer base. He has led a few first-time-in-the-industry projects that required R&D and application of algorithms tailored to the domain.
Specialties:Nag ’s competencies include: -
A smart professional with 8+ years of experience in Enterprise applications.
Hands on experience in developing multi tier architecture applications using Java, SOAP,Hibernate,Spring,Design Patterns ,OOAD,API design.
Three years of experience in Big Data platform using Apache Hadoop and its ecosystem.
Expertise in ingestion, storage, querying, processing and analysis of Big data.
Experienced in using Pig, Hive, Sqoop, Oozie, Flume, HBase.
Good experience with the Hive Query optimization and Performance tuning.
Hands on experience in writing Pig Latin Scripts and custom implementations using UDF'S.
Good experience with Sqoop for importing data from different RDBMS to HDFS and export data back to RDBMS systems for ad-hoc Reporting.
Experienced in batch job workflow scheduling and monitoring tools like Oozie.
Extended Hive and Pig core functionality by writing custom UDFs.
Experienced in analyzing data using HiveQL, Pig Latin, and custom Map Reduce programs in Java.
Worked as technical team lead/off shore coordinator in leading multiple projects for timely deliverables.
Comprehensive problem solving abilities, excellent verbal and written communication skills, willingness to learn, Team facilitator.
Successfully plans and coordinates teams for multiple IT projects with managing time lines and budgets efficiently by analyzing, designing, and implementing cost-effective solutions
Able to think "out of the box" and make critical decisions.
Able to work effectively under pressure with changing priorities and deadlines.
Provided direction for development, migration, and integration activities. Sees projects through from inception to deployment.
Big Data analytics: storing and mining large & complex data -
Customer scoring for various propensities: likelihood of churn, sale etc. - Product analytics: price elasticity of demand, market baskets -
Web analytics: e-commerce & digital marketing optimization -
Text mining: converting text into structured data, extracting semantics - Transforming academic research into industry applications -
Building an analytics layer over existing ERP & CRM applications.
Apache Spark jobs in Scala and MapReduce jobs in Java, Sqoop, Flume, Zookeeper, HBase and Hive .
Hands on experience in installing, configuring and using ecosystem components like Hadoop MapReduce, HDFS, Hbase , Zookeeper, Oozie, Hive, Sqoop, Flume.
Extensive experience in SQL and NoSQL development. Experience in data analytics using Apache Spark in Scala.
Excellent Knowledge implementing Hadoop with the AWS EC2 system using a few instances in gathering and analyzing data log files.
Working on data using Sqoop from HDFS to Relational Database Systems and vice-versa.