Power BI, Tableau, Microsoft Excel, Python, SQL, Microsoft suite

Kun Wang

Houston, TX **************@*****.*** 832-***-****

Education

University of Houston, M.S. in Computer Science with AI/ML focus (3.6/4) Aug 2023 – May 2025 Dalian University of Technology, B.S. in Electrical and Electronic Engineering Skills and Technologies

• Data Analysis and Visualization: Power BI, Tableau, D3.js, Microsoft Excel, Python (Pandas, NumPy, Matplotlib, Seaborn), R; strong experience in data cleaning, exploratory data analysis (EDA), and building dashboards/reports for insights.

• Database and Programming: SQL, PostgreSQL, MongoDB; Python, R, C/C++, JavaScript, HTML/CSS; skilled in querying, data transformation, and developing analytical solutions.

• Tools and Additional Expertise:Git, Docker, Linux/Unix, Microsoft Office Suite; Machine Learning frameworks (PyTorch, TensorFlow) for predictive analytics; certified in PwC Power BIand Deloitte Tableau. Experience

Applied Artificial Intelligence Lab @ UHV, Student Researcher Jan 2024 - Mar 2025

• Preprocessed and validated large-scale facial expression datasets by handling missing values, outliers, and inconsistencies, ensuring data integrity for analysis. Conducted exploratory data analysis and applied statistical methods to uncover behavioral and physiological patterns.

• Developed classification models and created presentation-ready visualizations and dashboards (Power BI, Tableau, Python) to communicate insights clearly to both technical and non-technical audiences, supporting data-driven decision making.

Projects

Simulating Low-Field MRI from High-Field Images Oct 2024 - Dec 2024

• Conducted a comparative study on two MRI synthesis methods—Deterministic Transformation and Stochastic IQT—to generate realistic low-field images from high-field FLAIR scans in the BraTS dataset.

• Utilized Python, MATLAB, and SPM12, and image analysis libraries (e.g., NumPy) for data preprocessing, segmentation, synthesis pipeline development, and quantitative evaluation (MSE, SSIM, GE, gEn).

• Gained hands-on experience in medical image simulation and evaluation, deepened knowledge of degradation modeling, and strengthened skills in experimental design and cross-modality analysis. Data Visualization for Software Engineering Mar 2025 - May 2025

• Explored treemap visualization techniques for analyzing hierarchical data in software engineering, focusing on slice-and-dice, squarified, and cardinality-based partitioning algorithms for HTML structure visualization.

• Developed interactive visualizations using D3.js, HTML, and CSS to aid in debugging and web optimization.

• Performing statistical analysis (MSE) to evaluate algorithm effectiveness and visualization precision. Global Aviation Network Analysis and Visualization Mar 2025 - May 2025

• Cleaned, integrated, and validated multi-source datasets (airports, routes, airlines) to ensure accuracy and consistency, enabling reliable analysis and reporting.

• Analyzed global air transportation data to uncover trends in airport connectivity, airline networks, and underserved regions, providing insights to support strategic route planning and new market development.

• Designed interactive maps, heatmaps, and infographics to visualize geographic and operational patterns, making findings accessible to non-technical person. Publications

• Kun Wang, et al. "Low Field MRI Image Synthesis" 5th IEEE International Conference on AI in Cybersecurity, 2025.

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