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SharjeelJalil/README.md

Sharjeel Jalil Albasit

Senior Data Analyst with 8 years of experience building ML systems, marketplace optimization tools, and decision engines across banking, food delivery, ride-hailing, and Q-commerce.

Most of my work has been about taking messy operational problems and turning them into systems that are production ready. ETA prediction for 137K daily orders, credit risk scoring for 891K bank customers, real-time stress management for delivery marketplaces, shift planning, pricing, churn prevention. The projects below are the ones I can share publicly.

What's in this portfolio

Project What it does Domain
ETA Prediction Model 5-stage segmented ETA with Bayesian smoothing and OSRM calibration Delivery Logistics
Credit Risk Scoring Engine MLP neural network scoring 891K customers with limit determination Banking
Demand Control System Zone-level stress detection with progressive marketplace tightening Marketplace Ops
Courier Shift Optimization Demand-aligned shift scheduling, improved utilization 0.8 to 1.1 orders/hr Operations Research
Vendor Churn Prevention Predicts vendor inactivity from operational KPIs, reduced churn by ~62% Q-Commerce
Customer Pricing Intelligence Geospatial persona inference + willingness-to-pay scoring for pricing Pricing / Geospatial
Smart Ride Assignment Replaces nearest-driver dispatch with ML-driven fulfillment ranking Mobility

Background

Mrsool - ETA prediction, demand control, courier shift optimization
Careem - Experimentation framework, device allocation strategy, funnel instrumentation
Bykea - Ride assignment, customer pricing intelligence, dynamic surge pricing
Foodpanda - Vendor churn prevention across 92 zones
Bank Alfalah - Credit risk scoring for digital lending

Python, SQL, Scikit-learn, BigQuery, OSRM, GeoPandas, Statsmodels

Pinned Loading

  1. eta-prediction-model eta-prediction-model Public

    Segmented ETA prediction model for on-demand food delivery. 5-stage pipeline (T1/T2a/T2b/T3/T4) with hierarchical Bayesian smoothing, OSRM calibration, and recency-weighted medians. Validated on 13…

    Python

  2. credit-risk-scoring-engine credit-risk-scoring-engine Public

    Credit risk scoring and limit engine for digital lending. MLP neural network scoring 891K bank customers with risk categorization, proxy income estimation, and credit limit determination.

    Python

  3. demand-control-system demand-control-system Public

    Real-time marketplace stress management system. Progressive search/listing radius shrink, Butler shutdown, markup pricing, and customer-facing delivery Choice tiers. Zone-level threshold calibratio…

    Python

  4. courier-shift-optimization courier-shift-optimization Public

    Courier shift optimization and demand planning. Generates demand-aligned schedules across multiple cities using median demand forecasting, greedy shift selection, and dispatch simulation validation…

    Python

  5. vendor-churn-prevention vendor-churn-prevention Public

    Vendor churn prediction and prevention system for Q-commerce. Predicts which restaurants will go inactive using operational KPI patterns, enabling commercial intervention that reduced vendor churn …

    Python

  6. customer-pricing-intelligence customer-pricing-intelligence Public

    Customer pricing intelligence system combining geospatial persona inference (OpenStreetMap POI matching) with willingness-to-pay prediction. Outputs per-customer pricing multipliers from RFM lifecy…

    Python