Sharjeel Jalil

• Predicted 60K potential power users out of 1M customers, using ML, for targeted marketing
• Improved average marketing campaign performance from 2% to 15%
• Increased daily average bike taxi trips by 12% after predicting and engaging power users
• Decreased time of ride acceptance by driver by 20% with Smart Matchmaking Algorithm
• Increased PC1 by 5%, in the first week of implementing Dynamic Surge Pricing Engine

Creating customer personas for contextual marketing

Analyzing and monitoring cross category utilization for up-sell/cross-sell opportunities

• Automated Penalty Execution and Reimbursement framework for one-off payments to vendor
• Decreased Vendor Churn Rate by 62%, with Zombie Prediction Model
• Improved Vendor Net Promoter Score (VNPS) by converting 30% detractors to promoters

• Regional Insight Champion, 2021
• Panda of the Quarter, Q3 2021
• Leader of the Quarter, Q4 2021

Development of predictive models for vendor fraud prediction.

Assisting analysts across APAC in implementing the zombie model in their countries

• Implemented 7 Big Data Use Cases pertaining to Digital Banking and Consumer Financing
• Mobilized a deposit of PKR. 1B from 4K customers in 3 weeks, with Deposit RFM
• Decreased Credit Card Attrition by 23% in under 4 months, with predictive modeling
• Identified most optimal location for 9 new branches, with POI based Geo Classification
• Predicted and Reactivated 50K+ deposit accounts from potential dormancy
• Created Customer 360 dashboard for behavioral understanding of over 1.5M customers

Data extraction, processing and feature engineering for ML modeling

Predicting affinity of customers for every transaction type for contextual marketing

• Designed the bank's Open Banking Framework
• Drafted the concept paper, BRD and PPG for E-commerce Loan

Defining strategies for monetization of Open Banking APIs

Aligning with tech teams and business stakeholders for product development