1. • DBMS- Design data model in sas from connecting data from oracle DB for acquisition data to daily recharge data to daily call data
records file to be mapped to create robust data mart for tracking customer origination to complete performance tracking for customer
and product life cycle management
• Reporting- After creating and automating data marts extract data to excel in the summarized form so that we can create adhoc
analysis in Excel Pivot, Charts and formula/function to creating daily business reporting in terms of customer acquisition on daily,
monthly and yearly trend analysis on ARPU and RPM analysis. Prepare pre and post analysis for product performance and the
competitive edge to customer usage from revenue point from both data/voice/vas analysis. Prepare customer performance life cycle
reporting over the period and trying to understand various approach can be applied to both existing and new customer for retention
and usage and revenue enhancement strategy making
• Data Visualization-Prepare regular reporting in more drill down approach and prepare easy to use business insights and demising
excel reporting to one platform in Qlikview dashboard. Hands on data model design and prepare KPIs to be mapped to see the product
and customer performance in dashboard with table view and design dynamics charts with conditional filtering approach
Client- Leading Telecom Company from India Previous Project- Telecom Retail Marketing Analytics
Tool- SAS, SQL , VBA , Excel , Access and PPT
Maintain database management and DataMart design for regular reporting
• Prepare data model design from source file Origination data to Account Management and Collection Strategy.
• Connect data from DB2 (Transaction al data) to SAS using Unix platform and prepare period dataset and combine data into meaning
full pattern for regular reporting.
• Prepare DataMart for 1. Origination Data, 2. Account Performance Data 3. Collection strategy Data
• Design data model to capture information mapped from Account Origination and booked account to account performance
• Prepare delinquent, charged off account datasets on a periodic basis for collection strategy reporting
Automation and streamlining projects
• Prepare regular reporting and automate the redundant reporting process in SAS Macro and Excel VBA
• Prepare data manipulation and analysis using SAS Base and Advanced Programming
• Design complete data flow design to reporting process and prepare various check points for analysis and adhoc request support
• Design complete data visualization support to demise excel regular MIS reporting to Qlikview and Qliksense drill down dashboard
design
Portfolio Insight generation and reporting
• Prepare data driven complete solution from origination to account management for partners.
• Prepare origination DataMart from EDW to Production folder for making it dynamic access for various MIS based on application to
customer and associated account level information.
• Prepare more data driven MIS report based on origination with product specific and region-specific market trend analysis.
• Prepare Retail credit analysis funnel for the application received to approved, cancelled, declined, booked and funded. Compare
received to approve rate and approve to booked rate and overall booked rate.
• Prepare application with approval based on score, exceptions (TDSR, GDSR, INCOME, SCORE, LTV) and customer type (Premier,
Advanced and Retail).
• Prepare reports on associated customer from relationship type to customer type as sole and joint.
• Prepare periodic performance for each product category number of active customer and balances, Risk weights assets, Delinquency
by (#) and ($) group by (0-29,30-59,60-90,90+, CO), new origination and new balance, average loan per account from history to current,
roll rate analysis for current to x and x+2, prepare good vs bad rate customer.
• Review loans in portfolio to ensure the credit union remains adequately secured by the collateral and that the borrower continues to
have the ability to repay the loan. Also responsible for identifying potential problem loans and making recommendations to Loan
Committee.
Tech Mahindra, Bangalore 06/2016- Till date
Sr. Data Analyst
Client- Canadian Imperial Bank of Commerce Current Project- Banking Credit Risk Analytics
Tool- SAS , SQL , VBA , Excel , PPT, Qlikview and Qliksense
Banti Bikrant Pradhan
Data Analyst with 3+ years of experience in banking and retail marketing domain
Core Competencies
buntybiki@yahoo.com +91 7504977471/ 7978922483 Bangalore-560075
3+ Years of experience from banking credit risk & retail marketing analytics
domain. Demonstrated expertise in complex database management
reporting, automation, data visualization and effective communication for
finding insights and optimizing profitability.
Programming Language Expertise level
SAS Base and Advanced
SQL Server
R
Python
VBA
Reporting and Visualization
Excel Base and Advanced
Qlikview
Qliksense
Tableau
Power BI
Strong RDBMS Programming Automation Data visualization
Reporting Customer analytics Retention analysis Cross-Sell/Up-Sell
