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About Me
Seeking a challenging, career oriented, innovative position in the field of design and development of Software, having total of 4+ years of experience in the Telecom Domain , 4+ years in Health Care Domain and 2+ years in data analysis and machine le...
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Positions
Portfolio Projects
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Performance Improvements , Performance tuning , Development and unit testing
Description
Wireless Data Roaming Services (WDRS) is a product that provides a reliable carrier-grade solution enabling service providers to offer wireless data roaming for subscribers over CDMA2000 (3GPP2), WiMAX, and LTE (3GPP) networks. WDRS is currently only supports 3GPP2 the solution can be extended to include WiMAX and 3GPP.
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Implemented the new features for OC 5.0 ,OC 5.01 , and OC 5.1 Releases. Did a performance testing of the Batch data load and did various tuning to enhance the performance. used ML Bigdata analysis
Description
Implemented OC 5.0 Server side coding , that included new security features like wallet usage , AQ ,Batch Upload, Implemented the replication for server side code . Did performance enhancements by tuning the Queries and use of hashing in various server code like batch upload, batch validation etc.: Did various enhancement for new features in the dll code for locking and unlocking mechanism , so that multiple users can enter the data for the patient simultaneously. Used ML and Bigdata for analysis of various outlayers of the entered data , Classification of patients according to data entered.
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AWS RDS DBA work , Performance Tuning , AWS cloud watch, aletr etc using boto sdk frameworks
Description
GPSy is the Global Product & Pricing Information system which provide a central location for HP product
and pricing information worldwide.
GPSy is the system of record for:
Product attributes
- Supplier information
- List price
- Customer-specific prices
GPSy is one of the widely used shared services in the company.
Used the structured data of various products from database and used python tools for data analysis and machine learning tasks for predicting the prices of new product using the data available about old products.
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Data analysis, campaign management ,Design and Development of the Loyalty module, Unit testing fixing the issues, support onsite deployment team, Change request implementation. Implementation of multi
Description
Loyalty Management System was designed to improve customer retention rates, communication and frequency of customer interactions .Loyalty Points Management system allows you to create your own points-based incentives, promotions and loyalty system to reward customers.
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Loyalty Management System was designed to improve customer retention rates, communication and frequency of customer interactions .Loyalty Points Management system allows you to create your own points-based incentives, promotions and loyalty system to reward customers.
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Implemented OC 5.0 Server side coding , that included new security features like wallet usage , AQ ,Batch Upload, Implemented the replication for server side code . Did performance enhancements by tuning the Queries and use of hashing in various server code like batch upload, batch validation etc.
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New DB creation ,migration, post cloning and maintenance of the database. Including cloning,upgrade,Recovery,Database Reply, Memory management and Various performance activities.Also involved in database tuning,monitoring alert logs,trace files ,cold and hot backup of database. Also involved in running scripts for statistics collection,locked objects etc.
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The data is being entered by the Investigator at various sites for the CRFs.Say blood pressure is one of the data entered for the crf which is between 80-120 for a normal person.It may so happen that the Investigator doesnot visit a site and the data is being entered was wrong.So the system has to decide if the data entered was correct or wrong,and list the investigators who entered maximum defects.
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The data is being entered by the Investigator at various sites for the CRFs in a clinical trial. Based on the similarity of the adverse events,demography and vital details classify the patients into different groups.The groups thus obtained would get a different treatment under clinical trial.
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