Lydiah Nyakweba | Logistics Data Analyst CV

Executive Profile

Highly analytical Logistics Professional with a First-Class Honours background in Mathematics and Statistics. Specializing in Operations Research (OR), predictive supply chain modeling, and network optimization. Expert in translating complex data into cost-saving logistics strategies for the German industrial market.

Education

M.Sc. Logistics & Supply Chain

2022-2024

ZAB VERIFIED (GERMAN 1.0 EQUIV.)

B.Sc. Mathematics & Statistics

2017-2021

Technical University of Mombasa

First Class Honours.

Technical Toolkit

Python (Pandas)

Gurobi Solver

SQL (Advanced)

SAP ERP (MM)

Tableau / Power BI

Network Analysis

Languages

English: C2 (Native/Fluent)
German: B1 (In Progress)
Swahili: Native

Professional Experience

Operations Research Analyst // Strategy Consultant

2024 - Present

HLT Management GmbH (Bremen, Germany)

Specialization: European Same-Day Logistics & LkSG Compliance

European Network Optimization: Solving combinatorial VRP (Vehicle Routing Problems) for same-day delivery fleets, balancing load capacity against driver shortages.
E-Commerce Demand Smoothing: Developing ARIMA-based predictive models for fulfillment warehousing to optimize safety stock during high-volatility labor cycles.
Risk Contagion & LkSG Strategy: Applying SIS/SIR mathematical frameworks to identify supply chain vulnerabilities and assist clients with Supply Chain Due Diligence Act mandates.

Logistics Data Analyst

2022 - 2024

Technical University Research (Operations Focus)

Automated data ingestion from SQL databases into Python analytical dashboards, reducing warehouse picking travel distance by 20% via linear programming.

Key Projects

Last-Mile Optimization Platform

Integrated Google Maps API with Python-based Dijkstra solvers to minimize urban delivery costs.

Disruption Simulation Engine

Created a mathematical twin of a regional distribution network to stress-test N-1 resilience scenarios.