As a chemical engineering student at the University of Illinois at Chicago, I have developed a strong foundation in process design, optimization, safety, and economics, achieving a 3.9 GPA and obtaining multiple certifications from SAChE and AiChE. I am passionate about applying my technical skills and knowledge to real-world problems and creating value for society and the environment.Currently, I am an intern at Danone, where I leverage my data science and machine learning skills to improve information flow and reporting accuracy across multiple business units. I have significantly enhanced the company's demand forecasting capabilities by developing and integrating various models, leading to a notable increase in forecast accuracy and a reduction in overhead costs. I have also designed a data pre-processing tool that boosts data quality and model performance. Previously, I interned at BEINIT Energy and Olympia Oil, where I contributed to process optimization, product launch, product logistics, and quality management projects. I am proficient in technical tools such as VBA, MATLAB, Python, and AspenPlus, and I possess excellent interpersonal, teamwork, and adaptability skills.