 The SAS ETL Remediation team analyzes the existing SAS programs to capture the functional and technical possibilities for converting SAS to phyton. Understand and determine the target technology for the internal and external data source transformation from a physical server to Google Cloud. Analyse and finalize the relevant access and environment required for the SAS to Python migration. Create a regression document to point out cataloging attributes and concepts following the… Show more  The SAS ETL Remediation team analyzes the existing SAS programs to capture the functional and technical possibilities for converting SAS to phyton. Understand and determine the target technology for the internal and external data source transformation from a physical server to Google Cloud. Analyse and finalize the relevant access and environment required for the SAS to Python migration. Create a regression document to point out cataloging attributes and concepts following the SAS to Python migration. Testing an individual model of an application in isolation to confirm that the code is doing things right and additionally identifying for optimization. Ensuring different models are working fine when combining as a group. Mock data generation unit testing remediation applying data validation framework. Ensuring results match existing sources (SAS and converted results) Automate the workflow integration of job sequencing and scheduling in a development environment. Create a deployment document for the lower environment and run it for a couple of weeks to ensure no impact on runtime or results. Document all the technical and functional steps followed during migration and share best practices for key topics. Finally, get approval from the client side to move the migrated Python programs to production. Responsible for the transfer of technical knowledge to facilitate implementation of the business solution provided. Show less

Sr SAS developer

Environment: SAS Base, SAS ACCESS, SAS SQL, MS ACCESS, MAINFRAMES &EXCELProject Description: Creating a centralized data mart for life insurance Business by extracting the data from flat files and formatting the data as per the business rule and storing the data in the centralized Data Mart using SAS and automating the existing process flowResponsibilities Conducting in-depth analysis for wide variety of life insurance products Bonds, Protection, Pensions, Annuities etc.… Show more Environment: SAS Base, SAS ACCESS, SAS SQL, MS ACCESS, MAINFRAMES &EXCELProject Description: Creating a centralized data mart for life insurance Business by extracting the data from flat files and formatting the data as per the business rule and storing the data in the centralized Data Mart using SAS and automating the existing process flowResponsibilities Conducting in-depth analysis for wide variety of life insurance products Bonds, Protection, Pensions, Annuities etc., by processing millions of data elements from various data systems.  These Analysis provide the latest persistency information. Which are being used by, finance reporting , product designing ,CMI, pricing and Actuaries’ Conducting in-depth analysis for persistency of core segments by product, distribution channel, customer demographics, competitor prices, tenure with the company and seasonal factors e.g. (projects handled :Early retirement and laps analysis different product and DCS process to SAS conversion)  Analyzing Projects for future improvements and process redesigns, developing various data models for Measuring and Monitoring the Business metrics for the top management in making business discussions (Generalized linear regression models, Logistic regression models etc.) Identify trends affecting the business, and articulate implications to upper management. Efficient and capable of gathering data through complex Data Warehouse queries and prepare various ad-hoc requests and presenting accurate information to the client specific format (SAS, Excel, MS Power point, DCS and glean output) Show less

Environment: SAS Base, SAS ACCESS, SAS SQL, MS ACCESS &EXCEL Responsibilities  Preparing MIS reports using Business Intelligence Tools (SAS, MS excel and MS access). Generating and analyzing the employees Calls handled, AHT, CSAT, Calls flow, Calls Disconnected, Shrinkage, Team wise Performance, Manager Wise performance, analysis etc. Daily, Weekly and Monthly Dashboard Scheduling, preparing analysis reports  Handling the various Ad-hoc queries from program… Show more Environment: SAS Base, SAS ACCESS, SAS SQL, MS ACCESS &EXCEL Responsibilities  Preparing MIS reports using Business Intelligence Tools (SAS, MS excel and MS access). Generating and analyzing the employees Calls handled, AHT, CSAT, Calls flow, Calls Disconnected, Shrinkage, Team wise Performance, Manager Wise performance, analysis etc. Daily, Weekly and Monthly Dashboard Scheduling, preparing analysis reports  Handling the various Ad-hoc queries from program satisfying client and manager’s need in the priority basis, and sending appropriate correspondence to all applicants in a timely manner. Primarily using SAS, Excel and Minitab, monitoring and analyzing the monthly performance and profitability of both Agent’s and Team vise Preparing the employee Performance data in every month and publish the employees individual performance with rating to the Program Managers. Show less

 Driving compliance within TAU for South Zone. Driving team projects, coordinating with stake holders on closing hiring numbers, Documenting discrepancies and process adherence.  Creating monthly and weekly hiring reports. Maintaining Hiring Cost for the different LOB’s within IBM, focused on streamlining & Improving  Manage the MIS for Recruitment &Training analyse numbers, which helps the leadership team in decision making, Communicate and co-ordinate… Show more  Driving compliance within TAU for South Zone. Driving team projects, coordinating with stake holders on closing hiring numbers, Documenting discrepancies and process adherence.  Creating monthly and weekly hiring reports. Maintaining Hiring Cost for the different LOB’s within IBM, focused on streamlining & Improving  Manage the MIS for Recruitment &Training analyse numbers, which helps the leadership team in decision making, Communicate and co-ordinate with immediate and senior leadership and deliver reports based on the requirements on a daily, Weekly, Monthly and Quarterly Basis across south zone of IBM GPS. Show less