Currently is a part of Research Data Integrity Group team of Morgan Staley Investment Bank project.Preparing and analyzing reports on the data of Research BU of Morgan Stanley Bank.Creating, Scheduling, and extracting Reports from Business Object 11(SAP-BI Tool Based on SQL) and from different other sources.Perform periodic reviews (weekly/fortnightly) on all deliverables with all stake holders/ Operations Teams.Collaborate across multiple teams from Delivery and Support functions to ensure all deliverables are released within timelines.Creating Project Data on SharePoint, JIRA, PNM Soft, ServiceNow Portals, and as well as on MS office tools and delivering Business presentations.Collaborate in the planning, design, development, and deployment of new projects, and enhancements to existing applications.Responsible for providing Business Analysis, gathering of requirement & Analysis, Gap Analysis, Customer Relationship Management & Technical support to the client and team members and decision- making processes.Develop SOP documentation to allow for smooth operations and easy system maintenance.Research Platform Survey designing, scheduling, sending reminder and also collating the survey results.Implement Python automation in Data Quality products.Testing and highlighting any data quality issues in Research Products which are scheduled to clients on daily, monthly, quarterly and annually.Prepare the Dashboards to show the Data Quality results of Research Products.Analyze business information, identify process improvements for increasing business efficiency and effectiveness. Participate in cross-functional meetings to resolve recurring customer issues.Optimize use of tools/technology and workforce management techniques to improve efficiency and effectiveness of supported accounts.

Perform Root cause Analysis using data analytics tools like Python, Excel and SQL to identify opportunities in increasing the Productivity.Train and test the data through machine learning in the development of Virtual assistant.Development of data collection processes and several databases to improve ML algorithm.Maintenance of data integrity (0% error rate)Designing of queries, compiling of data, and generation of reports in PythonIn depth research of defect trendsData mining and problem solvingUnderstand automation products and effectively represent data based customer and associate behavior to improve automation workflows.Provide support on Helptool to other associates in the team and across localesResolved Conventions problems, improved operations and provide exceptional support.Report issues with tools and software to the development team when necessary.Provide feedback for improvements to existing tooling that can increase labelling throughput and quality.Performed system analysis, documentation, testing, implementation and user support for platform transitions.Actively participated in meetings and sessions to determine process related issues and develop improvement plans.Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.Deliver Results according to project schedules and quality while maintaining SLA’s on Velocity, Productivity and Quality.

• Extensive knowledge of the SEO industry.• Introduced Python automation to increase productivity in the internal teams.• Offer hands-on assistance to customer's assessing needs and maintaining current knowledge of consumer preferences.• Knowledge of the tools to research keywords, analyze competitio, their strengths and weaknesses.• Recommend changes to website architecture, content and suggest relevant keywords to get better searchability on the search engines.• Handle unique Data Analysis requests from a wide range of internal customers.• Performed ongoing keyword discovery, expansion and optimization to increase organic search footprint and drive relevant site traffic.• Prepare Charts and reports of the client activity on the internal tool and educate them to increase more engagement on the tool.

• Perform analysis to obtain information required to make appropriate health insurance product recommendations.• Preparation of Product documentation to solve customer queries which helps the sales team to ensure their sales.• Establishing, Developing and maintaining positive business and customer relationships.