THAKUR DIKSHIT KUMAR

• Leading the product analytics for Payments & Financial Services at Airtel
• Enabling product team with product insights to improve customer experience across payment journeys on Airtel Thanks app
• Enabled product and tech teams to improve UPI conversion rate by 10% (10 Mn users)
• Enabled product team to improve payment checkout page conversion rate by 4% (80 Mn users)
• Co-creating the product roadmap and growth strategy with product and growth team
• Partnering with engineering teams for product journey instrumentation and platform errors debugging
• Design, implement and measure the A/B experiments for new product features/growth experiments

• Lead the Data & Product Analytics team at Freecharge
• Own the vision and roadmap for Analytics team.
• Partner with CXOs and business leaders to identify & solve key business problems and collaborate with Marketing, Product and Tech team
• Designed solutions for pushing financial services products to the users with higher propensity towards such products
• Identify credit worthy users using payment behavior , alternate data and bureau data to launch personal loan product with Axis bank.
• Create bureau data based affluence model to identify customers for Small ticket and large ticket personal loan
• Generating insights from alternate data collected from customer's device.
• Set up end to end analytics for financial products e.g UPI, Mutual Funds, Personal Loan.

· Built Customer 360 view for MTN’s customer base (~54 million) to understand the customers better to enable upsell and cross-sell analytics

· Responsible for Upgrading MTN Nigeria’s data management from relational database management system to HDFS platform to enable big data analytics

• Designed the integration pattern between the Global Data Warehouse and Tallyman system
• Build 15 plus interfaces to integrate data from global data warehouse to Tallyman product to feed into the Collections strategies
• Analyzed the data for Small Business accounts and created a predictive model to predict the accounts that might go delinquent and would be moved to Collections system
• Migrated customer credit application and bureau data from Teradata to Oracle Exadata.

• Created and managed knowledge modules on Oracle data integrator to dump data from Oracle to Teradata to support campaign management
• Built Teradata driven solution to send campaign leads to campaign execution team
• Built Teradata stored procedures for error handling and logging in case there is a data load failure
• Statistical Tools: Python, Knime, R, Excel, SQL, Tableau, Adobe Omniture, Tableau, Teradata, Hive, AWS Redshift, Snowflake