Sr. Analytics Consultant for an investment banks Private Wealth Management Team. Delivered underlying data pipeline for 10+ dashboards.Automated 50+ Analytics reports with a wide range of complexity.Collaborated with Data Engineers to deliver efficient Data Analytics solutions.

Working as a consultant for an investment bank's Private Wealth Management team across South East Asia to provide expertise in underlying data for dashboards, report automation and various data requests across multiple teams and stakeholders.Collaborate with multiple teams across PWM to understand Business requirements and deliver efficient Data Analytics solutions.

Developed end to end Machine Learning Model from Data preparation to implementing the model in production environment.Analysis done on Financial Data for major banks like SBI, Federal, BOICC, BOIDC and several other Banks.Retail Analytics and Dash boarding for retail clients like Taj, Lifestyle, Paradise Biryani, etc.Based on transactional and behavioral pattern developed different Customer Personas like Credit Card user, Gamblers, High Spenders, etc.

Implemented Fraud and Risk Model in order to avoid gaming on different Banks Points system.Extensively worked on various stored procedures in MySQL and SQL Server to automate and schedule reports.Developed Dashboards on Metabase to view/download reports by different departments or stakeholders.Migrated all the Risk Processes and Tables from MySQL to PostgreSQL (Greenplum) in order to enhance and optimize Database efficiency.

Worked extensively on Pandas to analyze different data, generate insights and convey to stakeholders.Majority of the worked involved brainstorming on different data sets to use it to the retail businesses advantage to increase revenue and end customer engagement.

Analysis of different games like American Football, Soccer, Volleyball, Basketball, etc which are played across USA.Provides in depth Analysis of each and every aspect of the game to help Coaches and Athletes improve the overall performance of the team.