In my current role on the Quantitative Rating project, I am actively involved in the train and predict module, where I implement machine learning techniques such as the Random Forest algorithm. The primary objectives of this module include training models within specified timeframes (training start date to training end date) and subsequently predicting MQR pillars for a given predict date. As part of the process, we save training datasets in AWS Athenas table, and store the FO_FE Predict model object in AWS S3. We further analyze the training and prediction datasets to derive methodological implications, and publication of the medalist rating.

Data Content, an ETL optimization project aimed at streamlining data workflows and enhancing data quality to facilitate improved decision-making. The project involved implementing advanced ETL techniques and tools to extract data from diverse sources, transform it into usable formats, and efficiently load it into the target database. Rigorous data analysis was conducted to pinpoint areas for improvement in data extraction processes, transformation logic, and loading strategies. Close collaboration with stakeholders ensured alignment with business objectives and requirements.

I have worked as a Senior Software Engineer for client Raffles Health (Domain – Insurance Domain) on security framework development which exposes set of services like list of users, get a user, create user, update user, delete user, roles assigned to user, authenticate user before login, logout, change password, reset password etc. This framework consumes the REST API exposed by keycloak 4.5.0. We have provided swagger-ui to list all the services and documentation.

I have worked as a Senior Software Engineer for client Mega Life Insurance on development of activity workflow framework used for BPMN which consumes Alfresco activity-rest 6.0.0 api and exposes set of services like create process instance, list of tasks, get a user task, complete a task and resume a task etc.

Majesco Distribution Management (MDM) is a versatile portal and mobile solution designed for streamlined agent onboarding. As an insurance distribution management software, MDM empowers insurers to develop and implement cutting-edge distribution strategies. I have experience with this platform, which plays a pivotal role in enhancing efficiency and innovation within insurance distribution channels.

I have worked as a Software Engineer for client CISCO on development of Prime Infrastructure is a networking domain project, is a Large Scale Distributed application. By using this application we can manage Network Devices like Routers and Switches and we can perform several tasks like add devices , delete devices, Import/Export images of devices and etc. I worked on System Monitoring module where we can monitor CPU Utilization, Disk Utilization and Memory Utilization on dashlets.