Results-driven Data Scientist with a strong background in data analysis, machine learning, and project management. Proven ability to leverage data-driven approaches to identify and address emerging risk trends and challenges. Skilled in Python, R, SQL, and various machine learning techniques. Adept at leading teams, optimizing processes, and delivering impactful solutions and seeking a challenging position to contribute to a dynamic team and drive business growth. I graduated from UMN Carlson School of Management in 2022 with a Bachelor's degree in Management Information Systems and a Business Analytics minor, during which I led several real-world marketing case studies. I am proficient in various machine learning, data modeling & engineering programming languages: SQL, RStudio, and Python.Alongside my technical skills, I have rich leadership and management experience. I have managed system development life cycles across a range of industries, including e-commerce, construction, hospitals, public facilities, and FinTech. As part of the UMN OIT UCaaS system transition project, I successfully oversaw several case study projects, liaising with sponsors and vendors to optimize processes and deliver exceptional results.