1. Nagul Meera Sadiq Shaik
9601 Grove crest lane
Charlotte, NC 28262
Email: shaiksadiq89@gmail.com
Cell: 704-780-0210
Professional Summary
• About 4 years of experience in IT Industry in Application Development & maintenance.
• Currently working as a Software Engineer on Java/J2EE technologies.
• Has worked on all the tiers including UI, business logic, database layer.
• Having good exposure on Java/J2EE technologies and frameworks including Core Java, J2EE, SOA Web Services,
STRUTS, Oracle 10g, MySql 5, ODM.
• Focused on delivering quality and performance oriented applications
Education
University of North Carolina at
Charlotte
Masters in Information
Technology
Overall GPA: 3.85
C.M.R Institute of Technology
(India)
Bachelor of Engineer in
Computer Science
Overall Percentage: 78%
Coursework
Data Warehousing, Database Systems, Algorithm and Data Structures, Business Intelligence, Big data and
competitive analytics, Knowledge discovery in databases, Principles of Human Computer Interaction, Software System
Design and Implementation & Network Based Application Development.
Skills
Operating System WINODWS XP, WINODWS 7.0, OS X (Mac OS), Linux
Database MS-SQL 2000, MySQL 5, Oracle 10g and 11g
Internet Tools XML, HTML, CSS, Java Script, Ajax
Languages JAVA, J2EE, JavaScript, C#, Python JQuery, PL/SQL, Logstash
Other
Eclipse, SAS, Microsoft SSIS & SSAS, Tableau, SPSS, Lucene, MS Office, Oracle,
Microsoft SQL server, Dynamo DB, Amazon Web services, Kafka, Storm and Bitbucket.
Relevant Experience
Architect / R&D Intern at CCC Information Services; Austin, USA http://www.cccis.com June 2015-Aug 2015
• Was part of team which developed and managed the flow of incoming messages from the mobile application,
which was developed for auto insurance users to create, upload images, manage and view the status of their auto
insurance claims.
• Used Kafka to manage the flow of incoming messages and storm technology to create clusters to manage the
messages. Employed Dynamo DB (feature of Amazon Web services) for back end database connectivity. Used
Maven framework used for this application. Followed agile methodologies during the software development cycle.
2. Technology Analyst at Tata Consultancy Service; Bangalore, India http://www.tcs.com Feb 2013-July 2014
• Technical analysis, design, development and documentation with a focus on implementation and agile
development. Developed a Web based reporting system with JSP, DAO and Apache Struts-Validator using Struts
framework. Developed business objects, request handlers and JSPs for this project using Java Servlets and XML.
• Developed core spring components with some of the modules and integrated it with the existing struts framework.
Actively participated in testing and designed user interface using HTML and JSPs. Implemented the database
connectivity to Oracle using JDBC, designed and created tables using SQL. Implemented the server side processing
using Java Servlets.
Programmer Analyst at Tata Consultancy Services; Bangalore, India http://www.tcs.com June 2011-Jan 2013
• Delivered and maintained scalable system architecture of Online Banking module including Business Layer and
Data Management components of the multi-tiered web based system. Performed requirement gathering, business
analysis, Unit and Integration testing, Deployment of application on UAT, Client Coordination, Bug Fixing and
extensions for project according to Change requests.
Research/ Academic Projects
Grocer Sack – An Ecommerce web application:
• Developed a java web application using HTML, JSP and JavaScript as front end technologies. Servlets and MySQL
server as backend technology. Deployed the complete application Open Shift, using FileZilla to host the WAR files.
The link to access the application is: http://tomcat-ppassi.rhcloud.com/Ecommerce52/
The IMDB movie dataset analysis:
• The IMDB movie dataset analysis:- Extracted the IMDB movie dataset from Wikipedia xml data files using Python
natural language processing tool and then applied Map-Reduce programming model, finally analyzed using Indico
sentiment analysis API, Lucene, Tableau, SPSS, Excel , SAS and R.
Mail Order Catalog Retailer:
• For the given dataset, the goal is to increase revenue per mailed catalog and to select customers to mail the 2014
catalog to, based on their past purchasing behaviors. Developed a predictive model with many deciding variables,
Historical Purchase Patterns and behavior. Performed RFM analysis of the catalog data. Used SAS E-Miner,
Microsoft Excel & R.
Achievements
• Awarded “Valued team member” award in Tata Consultancy Services.
