Turning data into decisions. Turning decisions into impact. MSc in Economics, Management & Global Challenges from the University of Ferrara — bridging analytics, AI, and global supply chains.
Pakistani analyst who crossed continents for excellence — Karachi to Bologna, Ferrara to Würzburg — now bridging data, sustainability, and global supply chains.
I'm Muhammad Amir Shaikh — a Supply Chain & Data Analyst trained between the container yards of Karachi, the factory floors of Northern Italy, and the Erasmus halls of Würzburg. Three views of one global supply chain.
My thesis at the University of Ferrara explored AI-Driven Digitalization and Sustainable Performance in Manufacturing, supervised by Prof. Enrico Vagnoni. Today I work across data quality, RLHF, ESG sourcing and logistics — translating messy operations into measurable wins.
Three clusters that combine into one practice — supply chain, analytics, and methodology.
A vertical timeline of roles across AI, logistics, and supply chain.
Structured annotation and complex model evaluation against ethical, legal and safety guardrails. Applied RLHF and systematic QA to improve reasoning quality.
Audited high-precision Air Traffic Control transcriptions to full labeling-guideline compliance. Reviewed AI labels for phonetic accuracy, callsign ID, and ATC/Pilot diarization.
Built Excel KPI dashboards that automated cross-functional reporting. Ran ESG-based vendor assessments across 100+ suppliers and mapped procurement bottlenecks.
Automated shipment tracking — cut manual entry time by 40% with real-time visibility. Authored a global SOP for empty-container repositioning (one-way lease + interchange swap). Monitored a 20,000+ container fleet across Middle East & Europe via NVOCC software.
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Five industry-grade certifications across analytics, sustainability, and supply chain.
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Real-time visibility across a 20,000+ container fleet spanning the Middle East and Europe — built on NVOCC software with custom Excel data pipelines.
Master's research on AI digitalization and sustainable performance in manufacturing — focus on top Asian emerging markets. Cluster analysis in R.
Designed and ran environmental + social scoring across 100+ suppliers for an Italian manufacturer, reducing supplier risk while supporting circular-economy goals.
Authored a global Standard Operating Procedure for empty-container repositioning combining one-way lease and interchange-swap strategies.
Presented at Università degli Studi di Ferrara · Supervisor: Prof. Enrico Vagnoni.
A cross-market cluster analysis examining how AI-led digitalization correlates with sustainability KPIs in Asia's leading manufacturing economies. Methodology built in R with k-means and hierarchical clustering.
Mapped 4 maturity tiers across Asian manufacturing.
Correlated digital intensity with ESG performance.
K-means + hierarchical clusters in R.
Defended with distinction · Magna Cum Laude.
Endorsements from internships, university and remote collaborations.
Amir's KPI dashboards became the single source of truth for our procurement reviews. He combines analytical rigor with genuine curiosity about sustainability.
A thesis that connects AI and sustainable manufacturing across emerging Asian markets — clearly structured, methodologically sound, and ambitious in scope.
Reliable, detail-driven and fast — Amir's QA work on AI labels held up to the highest precision standards we apply at the project.
Open to supply chain analytics, data quality, AI evaluation and consulting roles — remote, Bologna, or relocation.