• Develop a model to predict the Glucose levels in the human body through Raman Spectroscopy on the basis of Patient vital characteristics and spectroscopic data. The signals collected at the different wavelengths are preprocessed and the intensities are calculated. The softwares used are R, Python and Excel for data cleaning and data analysis.• Worked on the Linear and Non-Linear models and used techniques for feature selection like PCA, RFE and ensembling to improve the accuracy of the model.• Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.• Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.• Identified, measured and recommended improvement strategies for KPIs across all business areas.• Mentored sophisticated organizations on large scale data and analytics using advanced statistical and machine learning models.• Developed audience extension models relying on decision trees, random forest, logistic regression, and other categorical data

• Maintained and updated 80,000 customer service database based on Oracle10G/11G, SQL Developer.Technology used to make a connection with the database is JDBC.• Established specifications and coordinated production system with software programmers working on JAVA, PL/SQL languages, Javascript.• Maintained and administered computer networks and environments, including computer hardware, software and applications like CCB, MDAS, GIS,MIS. • Provided Root Cause Analysis, hot fixes, cut-over tasks during go-live phases accompanying the AGILE methodologies. Technologies used are JAVA, PL/SQL languages, Javascript.• Mentor the team in competency development, Implement performance management as per organization guidelines using IBM Watson Analytics, Tableau. • Developed dashboards, ad-hoc reports, drill-down reports, standalone jobs, optimized queries, fine-tuned backend application using Oracle-SQL , SAS9.4, Excel and Tableau.• Performed installation, configuration, deployment and Implementation of Sun Identity Manager(7.1), OpenSSO.• Involved in Data extraction from the application system and rectifying the data, Data blending as per the business requirements using Oracle SQL, PL/SQL, SAS9.4 and Tableau.• Transformed and manipulated data for building models using SAS and SAS-EM.• Created and analyzed reports, data models to extract business insights. Technologies used are Jquery, PL/SQL and SAS.

• Analyzed the system architecture and system design documents.• Analyzed the data in DB2 database before and after batch run using SAS. • Anomaly detection & investigation in database as per based on business rules. • Data mining from DB2 database based on Functional requirements using SAS EM. • Automated manual processes using macros in Microsoft Excel. E.g. data ring fencing. • Automated report generation using Microsoft Excel. • Comprehensive database management and migration from SQL to Oracle.Worked extensively on data cleansing, Mapping and Enrichment of Legacy data using SQL developer • Follow up and coordinate with stakeholders, application developers, and supervisor on projects• Provided Root Cause Analysis, hot fixes, cut-over tasks during go-live phases accompanying the AGILE methodologies • Involved actively in resolving maintenance tickets within the SLA period• Actively involved in the field support and application deployment(Oracle Customer Care and Billing)