Cloud Hedge is disrupting Digital Transformation by automating application containerization. Enables enterprise-scale Continuous Delivery, provides predictability, visibility, automation, and control to deliver software faster.

Data Scientist

Key Result Areas:

• Implemented workload analysis model. Identifies the usage of the systems metrics i.e. CPU, Disk IN/Out, Network IN/Out etc.

• Predictive model to generate recommendation for cloud application. Accordingly, actions can be taken to prevent data miss, failure of the system.

• End to end implementation of all the Cloudhedge services in Docker container as a part of RHEL certified container.

• Created large number of data matrix using server application configuration to validate discover and transform piece of Cloudhegde.

• Capacity planning model used to help client/end user to decide about the machine size deployed for an application in the cloud. Helps them to save cloud infrastructure cost.

• Trend analytics models for spikes detection in System utilization data. To identify sudden load in the system.

• Auto Summarization approach in combination with machine learning technique helps BnP Paribas bank to identify customers generating money using illegal action.

• Implemented sales forecasting model for on premise sales team as a part of presales. Increased company revenue by 3.75%

• Providing overall development using R and Python programming in an effective manner. At the same time used best practice approach for it within given timeline.

• Providing insights of overall flow of data pattern for high availability of any application for scale up and down size logic for disaster recovery for application environment.

Ocwen Financial is embarking on “Master Servicing” to facilitate, in an enterprise level that Ocwen Financial can work as a Data Driven organization, with consistent, accurate and fast access to data in order to be able to take informed decisions and build intelligence around it.

Software Engineer

Key Result Areas:

• Design and development of operational data store to consolidate data from various data source required.

• Raw data from source to target transformation was handled using informatica. End user reporting of data was done using R in terms of data analysis, data predicting and trend generation.

• Communicating with internal/external clients and counterparts to determine specific requirements and expectations, managing client expectations as an indicator of quality.

• Following the project life cycle methodology like Agile.

Look after the gamut of responsibilities pertaining to the data extraction from various sources like Oracle and flat files and loading of the data into the designed schema (into target warehouse (Oracle).

Programmer Analyst

Key Result Areas:

• Design and development CDD Model (Compliance data driven) and AML Model (Anti Money Laundering) for the bank.

• Develop mapping specification document as per business understanding.

• Analyzed data to identify survived customer for AML process.

• Delivering and implementing the project as per scheduled milestone.