Technical Skills

I enjoy combining mathematical optimization with modern software tools. Below is a selection of my core technical skills.

Programming Languages

• Python – developed production‑grade analytics pipelines and APIs
• MATLAB – rapid prototyping for numerical optimization and simulation
• SQL – relational data modelling and performant query design
• R – statistical analysis and visualization

Data Science & Machine Learning

• NumPy, Pandas & SciPy – data wrangling and scientific computing
• Scikit‑learn, TensorFlow & PyTorch – predictive modelling and deep learning
• Keras – rapid neural network prototyping
• NLTK, spaCy – natural language processing

Optimization & Mathematical Modelling

• GAMS, Pyomo, CPLEX, Gurobi – formulating and solving linear, integer and nonlinear programs
• Column generation, decomposition techniques and Benders cuts
• Metaheuristic and matheuristic algorithms (e.g., fix‑and‑optimize, tabu search)
• Network flow and scheduling models

Software Engineering & Tools

• Git, GitHub – version control and collaborative development
• PostgreSQL & MySQL – database design and management

Business & Soft Skills

• Project management – led cross‑functional teams from concept to deployment
• Communication – translate complex analytics into actionable insights for stakeholders
• Client engagement – scoping projects and delivering value to industry partners
• Technical mentorship – coaching junior analysts and engineers