Md Sultanul Arefin Sourav

Work

Nine projects, one evidence discipline

Each case study answers the same seven questions: what decision it supports, who uses it, what data enters, what is computed, what action is suggested, what evidence supports it, and what fails or is uncertain.

9 of 9 projects.

STUDY / 01

TEMPLAR-Fraud lab

Independent implementation of a routed, verifier-grounded, calibrated and cost-sensitive fraud decision pipeline with synthetic demo data and a paper fidelity audit.

researchdemo readypublished · Discover Data 4:20
CodeStudy detailsExplore evidence

STUDY / 02

Attention-QELM-GWO IIoT lab

Independent implementation of an attention encoder with a fixed-weight extreme learning machine head and grey wolf hyperparameter search for IIoT intrusion detection, with a fidelity audit.

researchdemo readyarticle in press (supplied version) · Discover Artificial Intelligence
CodeStudy detailsExplore evidence

DEMO / 04

Cashflow invoice lab

Synthetic receivables lab: three-way matching, duplicate invoice checks, payment-delay baselines and a 13-week cash forecast with intervals.

applieddemo ready
CodeStudy details

DEMO / 06

Demand and inventory lab

Demand forecasting baselines with rolling-origin backtests and a synthetic replenishment simulator for service level and holding cost trade-offs.

applieddemo ready
CodeStudy details

DEMO / 07

Customer retention lab

Leakage-controlled churn-risk demonstration on synthetic B2B accounts: point-in-time features, cohort retention, calibration and capacity-limited ranking.

applieddemo ready
CodeStudy details