Luning Lei
Hi, I’m Luning Lei, a sophomore at Carnegie Mellon University majoring in Statistics and Machine Learning with a double major in Computer Science. My academic interests span data analysis, machine learning, and software engineering (SWE), with a focus on building impactful and scalable solutions. I’ve worked on projects like fraud detection, AI writing detection, and game development, combining software development and data analysis. With experience in Python, SQL, R, and Tableau, I enjoy solving problems at the intersection of data science and engineering.

My Portfolio
To learn, grow, and make a difference in the fields I’m passionate about.
As Data Analyst
I uncover insights from complex data, craft meaningful visualizations, and help drive informed decisions using tools like Python, R, and SQL.
As Student
I lead by example and thrive in collaborative environments, leveraging leadership and communication skills to achieve academic and extracurricular success.
As Software Developer
With experience in Python, C, Java, and HTML, I design scalable and impactful software solutions, combining technical expertise and innovative problem-solving.
Professional Experience
2024.05 – 2024.08
Worked with data analysis and visualization using SQL and Python to optimize guest interaction processes and on-campus advertising, while providing exceptional customer service and enhancing staff training resources.
2024.03 – 2024.08
Conducted analysis of AI and human-written texts using Python and R, identifying linguistic and sentiment differences, and developed a machine learning model with 98% accuracy to detect AI writing.
2024-2025
Provided personalized academic support to peers, helping them improve study strategies, manage time effectively, and achieve success in a balanced academic environment.
2023.01 – 2023.03
Supported marketing campaigns and product positioning through research, messaging development, and aligning strategies with customer needs to enhance product outreach.
2025
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