Developed an automation tool using R to optimize the tracking of pharmacokinetic (PK) samples across clinical labs, significantly improving efficiency and accuracy in sample management.Created a user-friendly app with Shiny and Python to extract data, provide a dashboard, and design an interactive enrollment predictor, enabling more informed decision-making in clinical studies and reports.

Lead a data analytic project evaluating the current Electric Vehicles on the road to predict the transition to complete sales of EVs and create ML models to evaluate performance based on factors such as Base MSRP.

Used Python and R to engineer a Machine Learning-based recommendation engine for Korean dramas, taking users' favored titles as input and employs Cosine Similarity to determine the likeness between each pair of vectors, with each vector representing a specific K-drama. The system maps the viewer's preferences to a curated selection of dramas, enhancing personalized content discovery. Our published article provides an in-depth visual exploration of prevalent trends within the top 250 Korean… Show more Used Python and R to engineer a Machine Learning-based recommendation engine for Korean dramas, taking users' favored titles as input and employs Cosine Similarity to determine the likeness between each pair of vectors, with each vector representing a specific K-drama. The system maps the viewer's preferences to a curated selection of dramas, enhancing personalized content discovery. Our published article provides an in-depth visual exploration of prevalent trends within the top 250 Korean dramas through data visualizations including multivariate plots with color-coded rating dimension, treemaps, radar charts etc. Show less

Used Git, R, and heatmap models to analyze Amazon review trends: exploring the relationship between review ratings and corresponding vote counts, and the projected evolution of reviews over time based on past ratings

Employed Git, React, MongoDB, and Firebase for user authentication, password encryption, user schema, and a feedback systemUtilized AutoDesk for 3D modeling and printing of eco-friendly silicon nipple pasties

Planned annual international summit, including establishing partnerships with environmental organizations to host the conference, and securing grants

Applied Python to create predictive electric vehicle (EV) population models to support the city’s 100% electric vehicle sales transition, and mapped the Economic Health Score against Demonstrated EV Growth Rate by LA zip codes

Tracked progress on multiple site development projects ($50K to $5M) to develop and streamline processes in Autodesk, enhancing efficiency under the Site Engineering Team

Assisted team through literature review and data summary to evaluate the circulating tumor DNA (ctDNA) gene sequencing results in patients with newly diagnosed metastatic gastric cancer.