Vishnukiran A.

Vishnukiran A.

Soft Developer

Hyderabad , India

Experience: 6 Years

Vishnukiran

Hyderabad , India

Soft Developer

78000 USD / Year

  • Immediate: Available

6 Years

Now you can Instantly Chat with Vishnukiran!

About Me

Having around 6.6 Years of Experience as UNIX, Hadoop, PL/SQL, IBM Tivoli development and 3.11 Years of experience on Actimize (AML, KYC, SAM, CDD) in IT industry. Working for UOB Bank Singapore on Actimize, Hadoop, UNIX Shell Scripting....

Show More

Portfolio Projects

Description

Working for UOB bank Singapore at client location as a Software Developer, working on Actimize, Hadoop, Unix Shell Scripting, BMC Remedy and Control-M monitoring tool. As a member AMLQR (Anti Money Laundering Quarterly Release team) I have worked on new requirements like inclusion sanction list update, change in country risk score, bulk close the SAM and On-demand alerts, PEP by association. Have automated the tasks by using Shell Scripting and Python. Also having experience historical data load from rational db to Hadoop and Hadoop to rational database using scoop and hive.

Show More Show Less

Description

Worked for DBS bank project as Associate Consultant, working on Actimize, Hadoop and Unix Shell Scriptin and IBM TWS Tivoli monitoring tool. EWSS (Enterprise Wide Surveillance System) is critical project to detect SAM (Suspicious activity Monitoring), fraud and Watch list filtering (Increment and Full watch list) across the bank. The main aim of this project is to detect Anti Money Laundering (AML). It uses different watch list files given by Countries. ACSS (Automated Communication Surveillance System) is always checks the internal, external mails and Chats. Based on lexicons, it will filter the conversation/mail sent/received by the traders. The main AIM of this project is to protect the internal information from the traders. I have automated the tasks by using Shell Scripting and Python. Also having experience historical data load from rational db to Hadoop and Hadoop to rational database using scoop and hive.

Show More Show Less

Description

CDE (Credit Decision Engine) is a decision engine for Telstra. It uses strata rules to make the
decisions. CDE Support Database (CSD) – stores customer and account information used to make decisions. CDE
Reports Database – stores reporting information and presents reports via a web interface. Also stores Strata
rules database.

Show More Show Less

Description

Developed a web application using java, Jsp and Oracle database to maintain the knowledge repository for CDE System. This application is used to maintain all the typical issue over the past years The Knowledge database is intended to serve the purpose of a wiki within the CDE team for known issues or incidents that have been encountered in the past. This database would hold Incident information, Analysis, Remedy/Fix provided, related INCs/PKEs and would be updated on a regular basis.

Show More Show Less

Description

Developed a web application using Shell script, java, Jsp and Oracle to send the automatic report mails to Client. Currently a standalone application is present in the shared G drive in the Telstra network. This G drive is not accessible from offshore location. We plan to convert this application into a web based application so that members from both onshore and offshore location can access and generate reports as and when required and wecan send the reports automatically on a daily basis.

Show More Show Less

Description

Developed the Shell scripts (shell, Perl ) to validate the production logs and send the automatic report mails to all stake holders. CDE Regression testing is applicable for any the business service (credit, collect, cyclic &prebill). It processes one day data (~25k) for any business service automatic verification of the response fields. It is response to validate the fields on a selected based on the requirement. Using the configuration file it will generatethe final reports with specified request and response fields and send the email to the stakeholders.

Show More Show Less