Matteo Cacciola Email & Phone Number

As a dynamic mathematician specializing in operations research and machine learning, I am driven by the pursuit of applying advanced methodologies to solve real-world challenges in industry. With a Ph.D. in Mathematics and a focus on Operations Research Techniques for Neural Network Compression, I offer a unique blend of theoretical depth and practical expertise.During my Ph.D., I developed a groundbreaking Neural Network compression technique using MIP tools, achieving a remarkable 90% reduction in model parameters. By leveraging mathematical optimization principles, I engineered an innovative approach to compressing neural network architectures without sacrificing predictive performance, enhancing computational efficiency for real-world deployment. This project enhanced my PyTorch skills, my ability to deal with big data, as well as my algorithm designing skills.During my internship at Huawei Technologies Canada Co., I drove a study on Stochastic Gradient Descent behavior, collaborating with a multidisciplinary team of 5 members. I successfully carried out the theoretical framework we used as well as the coding needed for the implementation of the experiment. I participated actively in weekly meetings involving many teams, with more than 30 people presenting my team's achievements, leveraging my data analysis and visualization abilities.Additionally, I spearheaded an initiative to accelerate the solution process of MIP problems with embedded Neural Networks, achieving a 10× speed-up in optimization convergence rates. This optimization significantly enhanced the scalability and applicability of MIP-based decision-making systems, paving the way for faster and more accurate real-time data-driven decision-making in dynamic environments.I possess a robust technical skill set encompassing Python, Pandas, NumPy, Git, MATLAB, and R coupled with a strong foundation in statistics, machine learning, and calculus.As I transition into industry, I am eager to leverage my expertise in deep learning and computer science to drive innovation and maximize value as a Data Scientist or Quant Researcher. My extensive experience in optimization and my familiarity with tools like Gurobi and CPLEX also make me an ideal candidate for the Operations Research Analyst position. I am always eager to learn new techniques and explore new applications and challenges. I am fluent in Italian, English, and Portuguese. Willing to relocate.