Kishore Kumar Padi

Leading multiple BI reporting tracks pertaining to Corporate Finance, Overtime and Auto Commercial Loans

• Collaborated with stakeholders to identify business needs and data sources.
• Analyzed data to identify root causes of problems and recommend corrective actions.
• Utilized data visualization techniques to present and explain complex data sets.
• Evaluated effectiveness of existing analytics methodologies, recommending improvements where necessary.
• Implemented advanced data analysis techniques, resulting in more accurate insights and higher client satisfaction.
• Implemented business intelligence solutions to increase operational efficiency.
• Automate excel process using VBA macros.
• Evaluate and enhance existing reporting processes, exploring opportunities for process improvement, automation, and innovation.
• Utilizing SQL/PBI or leveraging existing data sources to design and construct PBI/Tableau dashboards, ensuring efficient data modeling and visualization.
• Using Statistical techniques to forecast expenses in Python

Analytical Projects

• Expense Forecast : Utilized XG boosting and ARIMAX statistical techniques in python which helps to predict future expenses across different Line of business.Identified patterns and trends in large data sets and provided actionable insights
• Weekly Loans DB: Built in Power Bi, this dashboard offers weekly loans data across different line of business(LOBs) and Sub-LOBs. It features modern visualizations and interactive slice and dice options, enabling users to explore data across various LOBs and Hierarchy levels.
• Revolver Utilization Report: To identify how much commitment $ is converted into balances with help of usage% metric at monthly and segment level. Provides monthly and quarterly trend at LOBs and Sub-LOB’s level

• Data Manipulation by using Oracle SQL Developer tool
• Generate Daily, Weekly and Monthly Reports
• Perform Ad-hoc requests based on client requirement by using SQL codes
• Analytic Projects: High Value Physician targeting & Segmentation
• Patient Journey mapping.

• Build multiple analytical models like Market Basket Analysis, Price & Cost Sensitivity Analysis, and Customer Segmentation using SQL Server for Retail domain
• Build Statistical models like Multiple Regression Analysis, Forecasting & Discriminant Analysis using R tool
• Coding and Automations using R tool
• Data Cleansing and coding using SQL
• Write complex queries for Ad-hoc request with quick turnaround time
• Develop dashboards using tableau software for better visualization.

• Working on client request and resolving various types of queries from Clients depending on their requirements
• Involved in working closely with clients and keeping hands-on with the projects
• Build and maintain healthy business relations with major clients and ensure client satisfaction by delivering service quality norms
• Generating customized reports based on the client requirement based on MS Excel and PowerPoint
• Facilitated automation of various weekly and monthly reports which were previously done manually, using efficient SQL
• Training on production process and business insights to new resources
• Successfully managed multiple projects with competing priorities and worked within tight timelines
• Handle all transition projects and take complete ownership of them, streamlined few processes which helped in cost saving for the company.