Nabil El Bachiri
- nabilwangshu@gmail.com
- Barcelona, Spain
Hello! Welcome to my portfolio! My name is Nabil, and I am a supply chain professional with experience in the automotive and chemical manufacturing industries, specialising in demand and supply planning under long lead times. I manage end-to-end SKU portfolios, balancing forecast variability, inventory exposure, and service-level performance. My work focuses on scenario-based planning, inventory risk assessment, cross-functional coordination across sales, finance, and operations, and translating operational uncertainty into structured planning decisions.
Work Experience
Supply Chain Planner
- End-to-end responsible for a defined customer portfolio, ensuring material availability and service level compliance under 16-week supplier lead times; designed and maintained planning simulations (R, Python) to balance demand, capacity and supply constraints within S&OP / IBP cycles.
- Built automated forecast and inventory dashboards (Excel VBA, Power BI) to track service level, safety stock, coverage, backlog, and supplier OTIF, supporting scenario-based planning.
- Worked with planning, procurement, and logistics teams to reduce stockouts (~15%) over two quarters and improve plan stability through scenario analysis.
Supply Chain Planner Intern
- Supported MRP planning by analyzing historical consumption data and managing the availability of key raw materials, coordinating with suppliers using SAP S/4HANA.
- Prepared and analyzed plant performance KPIs (stock levels, on-time deliveries, inventory coverage), providing visibility into logistics performance and enabling data-driven operational decision-making.
- Contributed to transport planning and the procurement of materials, helping to align forecasted demand with production capacity through projections based on historical consumption patterns.
Education
MSc in Statistics and Operations Research
Grade: 8.2 / 10
Focus areas: inference and probability, machine learning, mathematical modelling, optimization (LP, MILP), predictive modeling, advanced simulation methods, time series, data analysis.
MSc in Economics
Grade: 9.1 / 10
Focus areas: macroeconomics, econometrics, applied economic modelling, international trade, quantitative policy analysis.
BSc in Sociology
Grade: 9.2 / 10 — Highest GPA in cohort
Focus areas: quantitative sociology, statistical methods for social research, data analysis, social inequality and economic behaviour.