Neethu Unnikrishnan Email & Phone Number

Kochi, Kerala, India

• Hands-on experience in Azure SQL, Data Factory, Azure Stream Analytics, Application Insights, Azure Data Lake.• Designed and developed dashboards and reports in Power BI to provide data insights to the customers.• Created Pipelines in Azure Data Factory for migrating data from different sources to Azure SQL database. • Experience in developing Spark applications in Databricks for data extraction, transformation, and aggregation from multiple file formats for analysing & transforming the data to uncover insights.• Created Azure Data Explorer functions to be ingested in multiple Power BI reports.• Basic hands-on experience in Azure Cognitive services like LUIS and Personaliser.• Manages a team of 8 members and is responsible for their development, grooming, and addressing issues/ grievances proactively.

Chennai, Tamil Nadu, India

Build credit risk analysis models - PD ,LGD and EAD models to analyze the creditworthiness of the potential borrower.Analyze requests from management to determine the credit risk analysis of the assigned portfolio and prepare reports with findings to help the management making decisions on lending and creditworthiness.

Chennai Area, India

• Analyzed the source system and designed the mappings by translating the business requirements in Alteryx.• Designed and developed sustainable and efficient visualizations using Microsoft Power BI.• Implemented role level security and integrated the power BI reports in Microsoft Azure cloud.• Responsible for checking the accuracy of the data provided in the dashboards to the stakeholders.Client: Al Hilal Bank, UAE (Jan’15 – Apr’16) Highlights:• Analysis and understanding of the SAS Detail data store.• Prepared the mapping document from the source systems to the target database.• Created ETL jobs in SAS DI studio for processing and loading of data to DDS and data marts.• Developed various reports in SAS Web report studio for publishing in the portal• Involved in the testing and production release activities of the project.

Bengaluru Area, India

Client: United Services Automobile Association, US(Mar’14 – Jan’15) Highlights:• Recommending appropriate listening posts from which the feedback could be collected for the model building• Performing literature review to build a comprehensive sentiment dictionary with appropriate keywords• Defining text classification algorithm to classify the feedback data.• Detecting major themes from the text data and mind-mapping of themes• Building models and sentiment scoring.• Generating periodical reports based on volume and sentiment changesClient: Ministry of Manpower, Singapore (Oct’13 –Mar’14) Highlights:• Creating ETL jobs in SAS DI Studio to process the data and extract desired output format along with error handling and iterative processing of the data• Creating different kinds of reports and charts from the processed data for publishing in the portal• Presented knowledge sharing session to the clients about the applicationClient: Department of Intelligence, Angola (Mar’11 – Oct’13) Highlights:• Creating reports using SAS stored process and integrated it with java application• Creating Dashboards using SAS BI Dashboard for publishing in the SAS Portal• Providing the fraud framework solution for the client to track illegal migrants using SAS Social Network Analysis server 2.2

Bachelor Of Technology (Btech), Computer Science And Engineering

Certificate Course In Business Analytics, Data Science