Based in Germany

Logistics Data Analyst
& Operations Research

Leveraging advanced mathematical modeling and predictive analytics to drive supply chain efficiency, optimize routing, and mitigate disruption risks.

1.0Grade Equiv.
2ZAB Degrees
C2English Prof.
2026Market Ready
Bewerbungsfoto

EU Blue Card / Chancenkarte Eligible

Degrees officially recognized by the Central Office for Foreign Education (ZAB) as equivalent to German Master's and Bachelor's levels.

ZAB Verified (H+)ANABIN COMPLIANT
Python
Power BI
SQL
SAP ERP
Gurobi
Tableau
Git
Python
Power BI
SQL
SAP ERP
Gurobi
Tableau
Git
Python
Power BI
SQL
SAP ERP
Gurobi
Tableau
Git
Python
Power BI
SQL
SAP ERP
Gurobi
Tableau
Git

Verified Recognition

Key Professional Milestones

Service Portfolio

Operational Efficiency
as a Service.

Request Consultation
01

Supply Chain Auditing

Comprehensive analysis of transit, inventory, and procurement data to identify cost-leakage and process bottlenecks.

02

Network Optimization

Deployment of mathematical solvers (VRP/OR) to optimize routing paths and reduce fuel/freight expenses by up to 15%.

03

Predictive Stock Control

Implementation of advanced demand forecasting models to maintain optimal safety stock and prevent capital-lock in inventory.

My Process

How I Solve Supply Chain Problems

01

Data Auditing

Deep-dive into historical transit, inventory, and supply chain data to identify hidden bottlenecks.

02

Mathematical Modeling

Apply predictive algorithms (ARIMA, Exponential Smoothing) to forecast demand cycles.

03

Network Optimization

Solve Vehicle Routing Problems (VRP) using linear programming to minimize freight costs.

04

Risk Mitigation

Deploy contagion modeling (SIS/SIR) to simulate and prevent cascading supply chain failures.

Consultative Foresight

Supply Chain Risk Register

Translating mathematical contagion models into actionable corporate risk mitigation protocols.

SOC 2 / GDPR Compliant Architecture
Risk ID: SC-001High Impact

Tier-2 Supplier Contagion

Hidden bottlenecks in sub-tier networks causing cascading assembly line shutdowns.

Mitigation:

N-1 Redundancy + Dynamic Buffering

Risk ID: LG-042Medium Impact

Labor/Capacity Volatility

Fluctuations in freight availability leading to 15%+ spike in spot-market spend.

Mitigation:

Predictive Demand Smoothing (ARIMA)

Market Intelligence // 2026 Focus

Solving the German Logistics Challenge.

Predictive Routing

Mitigating the 2026 driver shortage by mathematically optimizing European same-day networks through advanced Vehicle Routing (VRP) algorithms.

LkSG Compliance

Applying SIS/SIR risk contagion modeling to identify supplier vulnerabilities, ensuring adherence to the German Supply Chain Due Diligence Act.

AI-Driven Fulfillment

Optimizing safety stock and e-commerce warehousing operations through predictive demand smoothing to combat 2026 labor market volatility.

Simulation & Analysis

Decision Support Lab

🎓 Bavarian Grade Converter

German Equivalent
2.8

* Calculated using the Modified Bavarian Formula as recognized by the KMK (Kultusministerkonferenz).

VRPEnterprise Risk Simulator

A professional visualization of risk propagation across Tier 1 and Tier 2 supply networks using SIS contagion parameters.

Stable
Critical
ALGORITHM: SIS_PROB_DIST_0.4

Arbeitszeugnis / References

"Lydiah demonstrates an exceptional grasp of Operations Research. Her ability to translate complex mathematical theorems into actionable operational strategies is outstanding."
Dr. Michael Munywoki
Department of Mathematics & Physics
Technical University of Mombasa