Runxuan Li Email & Phone Number

Evanston, Il, Us

Evanston, Il, Us

Madison, Wisconsin, United States

● Established data ETL pipeline on 100,000+ game records for the VR penguin game with over 500 sessions each month, utilizing Python (Pandas, Matplotlib), delivered real-time session monitoring and reduced data accessing times by 30%● Utilized K-means clustering on game attributes for feature segmentation, engineered 19 additional features to analyze user engagement patterns over time, uncovering VR interaction metrics such as engagement frequency and session duration fluctuations, which led to a 12% improvement in game engagement tracking, including increased power-up interactions and longer session durations during cooperative gameplay.● Employed structured programming techniques, using type annotations and custom data schemas to enhance code maintainability and data integrity

Madison, Wisconsin, United States

● Developed an ETL pipeline for Mup locus genomic data, pulling 12GB of data across 15 mouse strains via Python API, optimizing the processing workflow by 82%, significantly boosting efficiency for large-scale genomic analysis● Applied Linear Regression and PCA on mice genome data to analyze crossover rates and gene expression correlationwith heatmap visualization, revealed key gene relationship and improve interpretation of adaptive change appeared in the mup gene.● Utilized the Mauve software for whole genome multiple alignment, and visualized genetic evolutionary patterns usingthe UCSC Genome Browser and R, mapping chromosomal coordinates to elucidate genetic relationships● Validated hypotheses about the role of specific Mup genes in evolutionary trajectories and adaptability via experiment through various statistical reference methods such as t test

Madison, Wisconsin, United States

● Applied statistical methods, including PCA, correlation matrix, regression analysis, and random forest models, to human genetic data, visualizing correlations with scatterplots and box plots, resulting in enhanced model accuracy by 10% and discovered the correlation between gene’s heterozygosity and crossover rate● Analyzed 197 genetic sequences from 23 million base pairs in fruit flies to explore genetic revolution selective effects and fine-scale genetic diversity● Categorized genes into functional classes (e.g., immunity, evolutionary, cellular function) and calculated site frequency spectrum (SFS) for each sequence through Python to understand genetic diversity trends

Madison, Wisconsin, United States

● Bult image area processing script using Python, and launched the processing of imagery with HyPro & CHTC● Estimated image area across 1TB+ of hyperspectral image data using Python, optimizing imagery processing for 30+ datasets with HyPro and CHTC frameworks● Processed and corrected hyperspectral image data by performing calculations on aircraft navigation data, raytracing, and conducting atmospheric correction on over 500 images, improving output accuracy by 15%● Assisted in selecting GCPs from imagery, used Python classes to build object-oriented frameworks that provide generalized and intuitive interfaces for our mission planning, data management & data processing task

 Served around 182 hours during last semester

Assist in early childhood classroom Support the school’s daily schedule and plan activities for the daycare room to attract kids’ attention Attend every week for 3 hours

Beijing, China

● Conducted EDA through python for finding patterns in TV-watching habits, such as duration, frequency, and program-switching behaviors, and synthesized individualized tags based on audience preferences to create detailed user portraits● Spearheaded project schedule coordination by establishing a robust guidelines and governance framework to foster a structured and efficient workflow, ensuring timely execution and alignment with business goals, and improved work efficiency by 80%● Facilitated Alibaba Cloud establishment, evaluated components functionalities, benefits, and potential risks, selected the most suitable versions for projects, and optimized task allocation on GitLab to enhance workflow efficiency● Produced critical management reports, offering insights and actionable recommendations to stakeholders

Master'S Degree, Machine Learning And Data Science

Master Of Science -Ms, Machine Learning And Data Science, 3.94