About Me

• 19+ years of IT experience with 9+ years of project, product & people management and 10+ years of relevant experience in Data Science and Oracle Database Administration.
• Inherently curious, energized by challenges and interested i...acle Database Administration.
• Inherently curious, energized by challenges and interested in making a significant impact on a globally scaled business.
• Successfully led and built teams of motivated Analysts, Data Scientists and Multi DB Administrators.
• Displayed thought leadership in handling multiple projects/teams through all lifecycle phases.
• Led KPI development and tracking across all key functions of the business, as well as evangelize analytics across the business.
• Experience of working in multiple domains/LoB (Telecom, Media, Banking, Retail, Healthcare and Insurance).
• Skilled in strategy planning and implementation that impacted the technology direction for the division, business unit and enterprise.
• Developed automated dashboards and reports to various business owners to provide actionable insights (daily, weekly and monthly).
• Expertise in preparing efficient and useful metrics and reports using Tableau.
• Experience in SAS product and came up with Data analytics and reports in different database platforms.
• Developed data-driven insights & solutions with advanced analytics (machine learning, deep learning and statistical models) to extract insights from large proprietary data sources (millions of insurance data, terabytes of imagery and corresponding customer data).
• Delivered various analytics-based consulting assignments as part of one team in a globally distributed staffing mode.
• Visualized univariate and multivariate clusters of different type of issues in Oracle, SQL Server and DBW environments using K-Means algorithms.
• Executed data mining, manipulation and outlier detection; built the model using R and Python.
• Built explanatory linear regression model and predictive analysis for Service Now ticketing system.
• Competently led DBAs in Oracle, Microsoft SQL Server DB2, IMS, NoSQL and MySQL environments.
• Handled crisis situations during production incidents across mission critical external and internal client facing systems.