Open to opportunities

Mohamed Oudrhiri

@mohamedoudrhiri

Message

I turn operational data into decisions that improve cost, quality, and planning.

Zimbabwe

Message

What I'm looking for

I'm looking to turn operational data into practical decisions across teams, building the reporting, analysis, forecasting, and automation people need to improve planning, quality, costs, and customer outcomes.

I've led data and analytics work across AI B2B SaaS, manufacturing, logistics, and e-commerce, building reporting and analysis that teams use to make decisions. For confidential AI products, I designed supplier scoring, improved invoice-audit detection precision from 24% to 46%, and cut cost per document by 10x without losing accuracy.

At Shell and Vivo Lubricants, I mapped production, packaging, storage, quality, logistics, purchasing, and supply constraints into a shared planning solution. This cut production planning time by 50% and reduced recurring overtime to zero.

For Keter France's new direct-to-consumer channel, I built operational tracking from scratch, forecast demand, and analyzed the cost of customer claims. By prioritizing corrective actions with the logistics partner, I helped reduce customer dissatisfaction from 30% to 3% in six months.

Experience

Work history, roles, and key accomplishments

Data & Analytics Lead

Confidential (NDA)

Jan 2022 - Dec 2026 (4 years 11 months)

Designed scoring models for supplier evaluation and invoice-control platforms, improving detection precision from 24% to 46%. Instrumented audit pipelines and tracked costs to reduce cost per document by 10x.

Production Planning Consultant & Data Analyst

Shell & Vivo Lubricants

Mapped departmental needs and constraints across production, packaging, storage, quality control, logistics, and transport to coordinate planning. Analyzed sales history to anticipate demand, cutting production time by 50% and eliminating overtime.

Supply Chain, e-commerce and Data Analyst

Keter France

Built tracking for a new direct-to-consumer channel and analyzed sales to anticipate demand. Broke down customer claims by cause and cost, reducing dissatisfaction from 30% to 3% in six months.