PROFESSIONAL SUMMARY:

• Around 8 years of experience in Big Data Technologies using Java and Python and Data Analytics.
• Good hands on experience in most of the programming languages like Python, R, Java, Scala and SAS.
• Experience in NoSQL database which is a part of Research and Implement ongoing project with requirements.
• Good hands on experience in building efficient mapreduce programs on Apache Hadoop for performing jobs and analysing big data.
• Intensive hands on experience with Sqoop to import data from Microsoft SQL to HDFS and vice - versa.
• Good experience in BigData development tools like HBase, PIG, HIVE, Sqoop, Storm, Oozie and flume.
• Experience as a Data Engineer, can perform data transformations, extractions, cleaning and loading.
• Very good experience in Data Visualization using tools like Tableau, Plotly and QlikView.
• Good experience in Visualizing with Python, R and SAS using different libraries like MatplotLib.
• Good knowledge and experience with Machine Learning Algorithms.
• Experience in writing Shell Scripts for automation of Mapreduce Jobs.
• Experience in building Hadoop and different big data environments and maintain clusters.
• Good Knowledge in NoSQL Databases and can perform different transctions.
• Built custom ETL to Extract Transform and Load the data from MsSQL to Hdfs.
• Experience in building applications using Python and Java.
• Good knowledge in Artificial Intelligence applications and performed Image Recognition.
• Experience in building and understanding Natural Language Processing Programs
• Practical Experience and Knowledge in Data Mining and Text analytics using Python and R.
• Good hands on experience in Programming languages to SQL application developments and deployment
• Experience in Apache Spark with Scala, Python and Java.
• Knowledge and participated in Fraud Detection, Anti Money Laundering and Know Your Customer Projects.
• Experience in ETL and Querying in Big Data tools like Pig Latin and Hive QL
• Knowledge in Big Data Machine Learning toolkits such as Mahout and Spark ML
• Good hand on experience in Handling different data sets like JSON and XML
• Good Knowledge and experience with RESTful API’s.
• Good hands on experience with MarkLogic NoSQL and attended course for the same
• Experience in Data Extraction programs like crawling and scrapping using Python.
• Knowledge in different NoSQL databases and performing BA with visualization tools.
• Experience in using software development environments like Eclipse and Netbeans.
• Good Problem solving skills and code optimization skills to get efficient output.
• Good programming knowledge from the experience and research on various languages which makes adaptable to any programming language.

TECHNICAL SKILLS:

Programming: Python, Java, R, SAS, Scala

Database: Microsoft SQL, MySql, Oracle

NoSql: MongoDB, Marklogic, Cassandra

Big Data: Hadoop, HDFS, MapReduce, Sqoop, Pig, Hive, Hbase, Spark

Visualization/Analytical Tools: Tableau

Operating Systems: Linux, Windows

Scripting: Shell Scripting

Other Skills: Major Machine Learning Algorithms, RESTful Webservices, Xquery, XSLT

PROFESSIONAL EXPERIENCE:

Confidential, Piscataway, New Jersey

Hadoop Developer

Responsibilities:

• Automated the daily data mining process of user’s details from transaction details
• Built a Hadoop cluster for handling huge datasets everyday with 10 nodes.
• Execute Sqoop Commands to extract data from Ms SQL to HDFS
• Built a MapReduce program to perform jobs for extracting user’s details.
• Used Java to build MapReduce program and used Aho-Corasick algorithm for string search.
• Built a shell script to run these jobs daily in order.
• Migrated the same code into Scala and testing with Spark.
• Used Tableau to showcase the user’s density state wise.

Environment: Linux, Hadoop, MapReduce, Yarn, Apache Spark, MsSQL, Sqoop, HDFS, Java, Scala, Shell Scripting

Confidential, Atlanta, GA

Big Data Analyst and Developer

Responsibilities:

• Mine social media content and extract relevant information based on user’s search query.
• NLP (Natural Language Processing) on this data using Python and libraries NLTK, CoreNLP.
• Also used R for deep learning the data and look for any patterns
• Developed Artificial Intelligence application for Image Recognition
• For Image Recognition used Microsoft Cognitive toolkit and Convolution Neural Network.
• Stored the data in MongoDB NoSQL and performed different transactions.

Environment: Hadoop, Ms SQL, Excel, Python, R, Mongo DB, Microsoft Congnitive Toolkit.

Confidential, Buffalo, NY

Data Scientist

Responsibilities:

• Analysed and evaluated the KYC (Know Your Customer) documents.
• Identify the patterns using Text mining and text analytics
• Used R to perform analytics and mining the data.
• Implement different machine learning algorithms and observe for an outliers
• Used Python to perform data cleaning and make data structured.
• Part of AML (Anti-Money Laundering) team to build and implement rules.
• Transform unstructured transactions dataset into SAS dataset

Environment: Hadoop, MsExcel, MapReduce, Python, R, SAS, Marklogic, Tableau.

Confidential

Big Data Developer

Responsibilities:

• Built complex MapReduce Program to run jobs on this large transactions data using Java.
• Used Hadoop to store the large sets of unstructured data in HDFS
• Handled to import data into HDFS from different databases using Sqoop.
• Transform the data using Hive and Mapreduce and load into HDFS.
• Performed real time streaming of data using Spark with Kafka

Environment: Hadoop, HDFS, MapReduce, Yarn, Java, Sqoop, Apache Spark, Kafka, Oozie.

Confidential

Data Analyst

Responsibilities:

• Create Tableau Dashboards from the finance dataset.
• Implement R scripts in Tableau for creating calculated parameters.
• Build a small hadoop environemt for testing the performance of big data
• Wrote Pig scripts and HiveQL queries and perform analytics on it.
• Crawled and scrapped the data from different websites and stored the data in database using Python
• Built different visualizations to showcase the analysis did in Python using MatplotLib, Scikit learn.

Environment: Windows, Linux (Ubuntu), SQL, Tableau, Hadoop, PIG, Hive, Python.