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Machine Learning Data Science

Location:
Nashville, TN
Posted:
April 22, 2024

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Resume:

Manda Li (Amanda)

Nashville TN ***** 312-***-**** ad460s@r.postjobfree.com

Skills

Python, SQL, R, AI/Machine Learning, Power BI, Tableau, Data Analysis, Git, Postman, MongoDB, Docker, Quantum Computing, C, C#, Java, HTML, CSS, JavaScript, React, UX design, Windows Administration, UML, Microsoft Office (Excel, Word, Powerpoint, Access, Visio) Education

Vanderbilt University, Nashville, TN Expected May 2024 Master of Computer Science (GPA: 3.57/4.0)

• Related Coursework: Computer Network, Artificial Intelligence, Machine Learning, Model Integrated Computation, AI-Cyber Physical System, Transformer, Data Science, Software Engineering Purdue University, West Lafayette, IN May 2022

Bachelor of Computer and Information Technology (GPA:3.6/4.0)

• Minor: Management

• Honor: Dean’s List, Semester Honor, National Society of Collegiate and Scholars

• Certification: Lean Six Sigma Green Belt

Experience

The Wond’ry Quantum Studio(Nashville, TN) August 2023-present Researcher

• Coauthored a comprehensive quantum machine learning cookbook, featuring diverse datasets and model architectures. Developed example projects to serve as practical, hands-on resources.

• Researched quantum machine learning model performance on binary classification tasks and implementation in industry, comparing performance and runtime to traditional machine learning models. Vanderbilt University Data Science Institute (Nashville, TN) August 2023-Present Teaching Assistant

• Delivered technical R programming instruction, significantly boosting students' understanding of both foundational concepts and advanced techniques. Provided constructive feedback on assignments, contributing to measurable improvements in student performance. The Wond’ry Innovation Center(Nashville, TN) June 2023-August 2023 Data Analyst Summer Intern

• Implemented quantitive and qualitative data analysis in Leadership and Operational Performance (LOP) Evaluation Project. Performed ETL and EDA for in-depth analysis of 20 years of user surveys using Python's Pandas and advanced NLP tools, leading to the identification of key trends and actionable insights that directly influenced strategic decision-making.

• Webscraped across 40 competitor websites with Python Beautifulsoup, yielding a comprehensive competitive intelligence report that guided marketing and product development strategies.

• Spearheaded user interview analysis in Nissan Project. Leveraged NLP tools, including BART and GPT-4, to analyze and distill lengthy user interview transcriptions. Identified essential UX design requirements, influencing the redesign of products. Human Nature in Law Project (Nashville, TN) January 2023-present Developer

• Collaborating with Vanderbilt AI Law Lab, leveraged generative AI technologies (langChain, RAG, custom GPT-3.5, GPT-4) to interpret human nature within Supreme Court rulings and legal texts.

• Conducted API integrations and Python prompt engineering for legal data retrieval, enhancing analytical depth and insight. Developed prompts for generative AI to systematically extract structured data from legal case contexts.

• Implemented Streamlit to create interactive data visualizations of extraction accuracy metrics and developed an interaction page enabling user engagement with RAG and GPT-4 models as legal assistants. Commodore Cup Sustainability Dashboard (Nashville, TN) November 2023

• Spearheaded a team to win First Place in the Commodore Cup by redesigning Vanderbilt University's Sustainability Dashboard. Pioneered the use of a Sankey plot as the centerpiece of the interactive dashboard, revolutionizing data visualization and user engagement.

• Employed advanced UX design methodologies, utilizing Figma for intuitive prototyping and React for the development of a dynamic final demo.

Language

● English (Fluent), Chinese (Fluent)



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