Resume

This MIT Program equips me with the skills and knowledge to make informed decisions using data-driven approaches. Through hands-on projects and case studies, and practical experience in applying these techniques to real-world problems. Upon completion. This program offers me a valuable opportunity to develop expertise in data-driven decision-making and effectively utilize these techniques across various domains.

This program equips me with a deep understanding of fundamental mathematics, including topics such as Algebra and Functional Analysis. It also covers mathematical modeling, optimization, and statistical analysis, enabling me to tackle complex problems and make informed decisions across various fields. Through rigorous coursework and engaging research projects, I have the opportunity to develop strong analytical and problem-solving skills. The program places a strong emphasis on the practical application of mathematical techniques in real-world scenarios, preparing graduates for successful careers in industries such as finance, logistics, operations research, and data analysis.

Conducted advanced research in optimal control and developed numerical techniques for solving nonlinear problems related to the Hamilton–Jacobi–Bellman (HJB) equation. Collaborated with academic experts and international researchers on interdisciplinary projects, published scientific articles, presented results at international conferences, and actively participated in seminars and workshops on optimal control and numerical methods.

As a teacher for Bachelor's degree students in economics and management, my role involves applying descriptive statistical methods and techniques to present data effectively and provide valuable information. Additionally, I teach students about sampling methods and hypothesis testing, enabling them to understand how to collect unbiased data and analyze it accurately. By imparting this knowledge, I equip students with the necessary skills to make informed decisions based on reliable data analysis.

As a teacher for students in mathematics and computer science, I have the responsibility of teaching two modules. The first module is Mathematical Analysis, where I cover topics such as functions, numerical sequences, and the development of limits for functions. I also delve into function integrals and their applications. The second module focuses on Numerical Analysis, where I teach algorithms such as Cholesky and Gauss methods that are utilized to solve nonlinear equations. Additionally, I guide students in practical implementation by showcasing how these algorithms can be applied using MATLAB. In this context, I also provide instruction on utilizing MATLAB for functions and function integrals.