I provide optimization solutions that help businesses minimize costs, maximize efficiency, and achieve the best outcomes under real-world constraints. With expertise in mathematical optimization and advanced algorithms, I design models that support data-driven decision-making across finance, logistics, and operations.
My expertise includes portfolio optimization (Markowitz model) and logistics optimization (Capacitated Facility Location Problem - CFLP) implemented with Mixed Integer Linear Programming (MILP) and other advanced methods.
What I deliver:
1. Portfolio optimization balancing risk and return.
2. Risk and sensitivity analysis with financial metrics (Sharpe ratio, volatility).
3. Warehouse location optimization with capacity and cost constraints.
4. Customer allocation plans that minimize transportation costs.
Applications include:
- Investment portfolio design and financial strategy.
- Supply chain and logistics network optimization.
- Cost reduction in operations and distribution.
- Strategic planning with data-driven optimization models.
My optimization services provide actionable solutions that are scalable, practical, and tailored to each client’s needs.