Deekshith D Achar

• Data Quality
• Identify Data Quality Issues on Reference Data scope: Work with stakeholders to understand common data quality issues, such as inaccuracies, duplicates, missing data, inconsistencies, and data format errors.
• Conduct Data Audits: Regularly audit data for completeness, accuracy, consistency, and timeliness to identify areas where data quality can be improved.
• Analyze Root Causes: Investigate and analyze the underlying causes of data quality issues to ensure they are addressed at the source.
• Define Data Quality Requirements: Understand Business Needs: Collaborate with business stakeholders to understand the specific data quality requirements
  Set Data Quality Standards: Establish data quality standards based on business requirements, such as accuracy, completeness, timeliness, and consistency.
  Create Data Quality Metrics: Develop measurable Key Performance Indicators (KPIs) to track and monitor data quality over time. These metrics may include error rates, data consistency scores, or data validation accuracy.
  
• Data Quality Framework Development: Develop Data Quality Rules: Collaborate with IT teams to define data quality rules and validation procedures (e.g., data validation rules, automated checks) that need to be implemented in Static Data
  
• Data Profiling and Monitoring: Perform Data Profiling: Analyze existing Static to evaluate their structure, patterns, and quality. .
  
• Collaboration with IT and Data Teams: Work with IT Teams: Collaborate with data engineers,
  
• Data Quality Remediation: Identify and Prioritize Issues: Work with stakeholders to prioritize the most critical data quality issues that need to be addressed immediately.
  Propose Data Quality Improvement Plans: Develop and implement remediation plans to address data quality issues, .
  Track Progress: Track the implementation of data quality improvement initiatives and assess their effectiveness in resolving identified issues

Major Migration Project

• Data Migration for Murex implementation
• New Data model adoption and distribution
• DPM Dashboard
• DPM Application Dashboard projects involved UAT (User acceptance test), BRT( Business requirement Test)
• Masterfile to Smartclient Migration.

- BOT/AI implementation in the process: Considering the Manual process in Account Data management world, Artificial Intelligence has been implemented with the help of IT team/RPA (Robotic process automation)team. SDD (Solution Design Documents) has been prepared as per the process requirement and live training session has been initiated to understand the process to build the BOT

- Analyzed business data requirements and translated it to system design concepts.

- Project has been completed by taking 1 year 3 Months as BOT has been implemented on 3 Major Product( Equity,FI, FX) manual account creation and its successfully delivered 3 FTE benefit.

- Delay in project completion due to frequent front end changes in Main application called DPM and Dataportal as it must happen due to Client requirement and Project team has to rebuild the Solution Design Document multiple times

- Transition of onshore project (DMG application) to offshore centre (FX business) from APAC and Zurich counterparts.

- Knowledge sharing sessions have been scheduled and discussed on process gap areas between onshore and offshore to redefine the process.

- Offboarding Project: Project was acquired from other vendors.

- Closure of accounts in applications like Masterfiles, DMG, EROS, Wispa, Coma,T24, G1.

- Framed a new SOP (standard operating Procedure) as per the business standards

- Tableau was implemented for reporting purpose

Project White : (2015-16)

Was onboarded to Client location (Singapore) and worked on the project for 12 months and successfully delivered the expected results within deadline.

- Project was mainly based on entity change for one of the Swiss based Client segregated as Cash and Non Cash Product.

- Gathered total account level populations under the respective Client and identify the Cash and Non cash product linked accounts.

- Part of RTB Team (Client and Credit facilitation) which is a subsidiary of Global Client reference data management

- Expertise in handling Account data products within the like Equities/Equity Derivatives, Fixed income, OTC Interest Rates, Swaps trades, Repos trades and Prime brokerage within UBS Investment Bank under reference Data Management, Client accounts and SSI department.

- Responsible for creating Client trading accounts, setting up of SSI and confirmation on various products, Data Reconciliation for existing clients of bank to their respective country specific standards.

Was assigned to support BAU process at Singapore due to major resource crunch in onshore singapore in Client Location