About me

I am interested in designing computational algorithms that address supply chains and operations challenges, by combining methods from Combinatorial Optimization, Stochastic Optimization, Machine Learning and Lean- Six Sigma. Currently, I am working on applying Scenario Reduction algorithms in Stochastic Optimization to solve problems in Capacitated Facility Location and Network design & routing. The results of this work will contribute to SMS++, a high-performance mathematical modeling system written in modern C++. My expertise bridges data science with practical business solutions in supply chain management, and operation excellence. See my CV for more details.

Education Background

Master in Data Science and Business Informatics

University of Pisa, Italy

Sep 2023 - Present

Relevant Courses: Optimization for Data Science, Model Driven Decision Making

Double Degree MSc in Production Engineering and Management

University of Trieste, Italy

Sep 2019 - Mar 2022

Relevant Courses: Operations Management, Data Analytics

Thesis: Analysis and improvement of a production process through Lean - Six Sigma: a case-study at Spartronics Vietnam

Supervisor: Professor Elio Padoano & Professor Elmar Hartweg

Double Degree MSc in Production Engineering and Management

Technische Hochschule Ostwestfalen-Lippe, Germany

Sep 2020 - Feb 2021

Activities: Erasmus+ Exchange Program

Bachelor in Industrial Management

Hochiminh City University of Technology and Education, Vietnam

Sep 2014 - Sep 2018

Relevant Courses: Optimization, Operation Management

Thesis: Apply DMAIC to reduce labor time for a Core-Bedding product at II-VI Vietnam Co., Ltd

Supervisor: Msc. Thu Anh Bui

Professional Experience

Business Analyst

Weave Services Limited (Hong Kong - Remote)

Jun 2022 - Aug 2023

  • Developed an automated production scheduling engine using Python & SCIP, solving large-scale Integer Programming models (200+ SKUs) to optimize mold allocation and machine capacity across shifts.
  • Built and applied MIP-based optimization models to enhance multi-constraint capacity planning, aligning production schedules with operator productivity.
  • Conducted end-to-end data analysis (SQL, ERP, manual logs) and on-site field studies to identify root causes and deliver data-driven “Quick Win” improvements.
  • Delivered comprehensive diagnostic reports and business case presentations for C-level executives, translating complex operational challenges into ROI-driven transformation roadmaps.
  • Managed ad-hoc ETL and data pre-processing workflows to clean and standardize raw operational data, ensuring high quality inputs for predictive analytics and diagnostic reporting.

Production Data Analyst

Spartronics Vietnam

Feb 2021 - May 2022

  • Collected, processed, analyzed the production data to get insights and support top leaders making decisions, problem solving and improvements.
  • Designed and built data systems to capture performance data for new products, developed dashboards to track the performance and perform business/ data analysis tasks when issues arise.
  • Designed and built the SMT changeover process for two high-volume PCBA products, reduced setup time by 50% and increased OEE to 82%.
  • Developed a project that increased the First Pass Yield of Box Build products (21 SKUs) on the Tele-radio line to 98.89%, increased 4.09 sigma level, saved $35k in 2022 for the company.

Production Engineer

Coherent Corp. (formerly II-VI Vietnam)

Dec 2017 - Sep 2019

  • Monitored, analyzed daily data regarding to business goals and took corrective/preventive actions to get them back on track.
  • Made weekly/daily production schedules (around 200 SKUs) based on master production plans with the right time, quantity, conditions.
  • Failure analysis by applying lean tools (5 whys, 5W1H, 5M1E, FMEA), mathematics techniques (6 Sigma, Reliability analysis, Pareto/SPC analysis, Cpk/Ppk, DOE) to define corrective/preventive actions regarding to quality excursions.
  • Developed a productivity improvement process for a Core-Bedding product (single SKU), reducing average labor time from 0.38 to 0.23 hours per unit and saving $9,229.29 for the company.
  • Managed KPIs for mixing processes, including Productivity (80%), OTD (95%), First pass yield (99% non-telecom, 95% telecom), and Cost (under budget 1% revenue/month). Achievement: increased Productivity exceed 80% for 5 consecutive months.

Teaching Assistant

Hochiminh City University of Technology and Education

Sep 2016 - Dec 2016

  • Taught and guided students in Mathematical Programming course, covering LP formulation and solution methods (Simplex, Graphical), optimization problems (Capacitated Facility Location Problem, Resource Allocation Problem), and project scheduling techniques (CPM, Gantt).

Professional Certifications

Skills

Programming

Python, C++,
AMPL, SQL

Modelling Systems

PuLP (Python), Pyomo (Python), SMS++ (C++)

Solvers

CPLEX, Gurobi, HiGHS, COIN-OR CBC

Statistics

R, Microsoft Excel, Minitab

Data Visualization

Microsoft Power BI

Others

LaTeX