About Yi Ma

I am Yi Ma, currently pursuing an M.S. in Computer Science at the University of Southern California. I previously earned a B.S. in Statistics and Mathematics and an M.S. in Statistics at the University of Wisconsin–Madison. My interests connect statistical modeling, software engineering, and manufacturing data, from framing a problem to building a practical tool.

My academic and development projects include statistical analysis, content recommendation, online booking, mobile music applications, and document question answering. At an industrial gas manufacturer, I contributed to data preparation, predictive modeling, and inventory dashboards. These experiences strengthened my focus on model reliability, system usability, and clear communication with business users.

My manufacturing work has resulted in six registered software works, with related methods presented in an implementation framework white paper. I also contribute to the Zhiwei Forum's Academic Advisory Committee, deliver technical presentations, and review projects, discussing approaches to cost forecasting and supply-chain anomaly monitoring and the conditions in which they apply.

Statistics and software development illustration: code, data charts, and mathematics notes on a study desk
B.S. in Statistics and MathematicsUniversity of Wisconsin–Madison
M.S. in StatisticsUniversity of Wisconsin–Madison
M.S. in Computer Science · In progressUniversity of Southern California

Education and Professional Development

2019—2021

University of Wisconsin–Milwaukee

Completed coursework in computer science, mathematics, and quantitative methods, developing foundations in programming, logical reasoning, and mathematics.

May 2023

B.S. in Statistics and Mathematics

Earned a bachelor's degree at the University of Wisconsin–Madison, with coursework in probability, statistics, regression, experimental design, mathematics, and computing.

December 2024

M.S. in Statistics

Completed the Statistics and Data Science program at the University of Wisconsin–Madison, strengthening skills in statistical learning, predictive modeling, validation, and large-scale data processing.

2025

Six Registered Manufacturing Software Works

Developed six V1.0 software works addressing costs, expenses, inventory, supply, purchasing, and profit.

In progress

University of Southern California

Pursuing a master's degree in computer science, building expertise in algorithms, systems design, computer networks, information retrieval, and software engineering.

Manufacturing operations with production lines, inventory racks, packaging areas, and logistics routes

Industry Data Experience

At an industrial gas manufacturer, I contributed to customer data preparation, predictive modeling, and inventory visualization. This experience connected classroom methods with business needs and reinforced the importance of tools that nontechnical users can understand and use.

Data Preparation and Modeling

I helped clean customer data, handle missing values and outliers, prepare features, and train predictive models.

Inventory Dashboards and Model Settings

I contributed to an industrial gas inventory dashboard and adjustable model settings, helping users explore stock changes and analytical results.

Documentation and Communication

I prepared analytical reports and technical documentation to explain methods, findings, and tool usage to nontechnical colleagues.

Areas of Expertise

Statistics and Data Science

My training in statistics and mathematics, together with projects on taxi tipping, classification, and factorial experiments, has developed my skills in data processing, model comparison, and interpretation.

M.S. in Statistics · Regression and classification · Experimental design

Software Engineering and Systems

Through recommendation, booking, mobile music, and document question-answering projects, I have worked on front-end and back-end development, databases, and cloud deployment.

Six software copyrights · Four engineering projects · Multiple application types

Manufacturing Operations and Validation

I developed six software works addressing costs, inventory, logistics, supply, purchasing, and profit, and organized related methods in a white paper covering data preparation through implementation validation.

Six operational areas · Industry data experience · Implementation white paper