Kai Wilson

Data Sleuth Specializing in Machine Learning and Data Storytelling.

About

In 2020, confined at home like many others, I quickly exhausted Netflix's entire catalog. Faced with the prospect of subscribing to Hulu, I chose instead to revisit a skill from an introductory programming course. My first project was a simple Python game. Completing it ignited a passion for software development, leading me deeper into the world of coding.


I've always loved writing a good story, which initially drew me to data analysis. Exploring large datasets made me feel like a detective in an Agatha Christy story. My passion for coding continued to grow which led me to the world of machine learning and deep learning. Motivated by this curiosity, I pursued a Master's in Data Science at Stockton University, where I deepened my understanding of neural networks and exploratory data analysis.

Experience

Healthcare Affiliation
Stockton University		 Aug 2023 - Present
  • Developed a Dashboard to present clinical placement site data
  • Led multi-school clinical software integration, generating comprehensive reports and a dashboard to visualize program trends since 2016.
  • Developed K-means Cluster visualization to find similar characteristics in the data and created an Apriori algorithm to find association of student application data for the PT program.
  • Crafted evergreen agreements and created queryable placement archive, fostering long-term partnerships and efficient management.
Data Science Intern
LeadX		 May 2024 - Present
  • Implemented data pipeline with Python scraping class, processing 3 million companies' data for large-scale analysis.
  • Developed NLP models analyzing 7,000+ Carvana reviews, extracting keywords and predicting sentiment for satisfaction insights.
  • Presented Carvana feedback analysis for master's project, communicating findings for potential service improvements.
Graduate Assistant
Stockton University		 Sep 2023 - May 2024
  • Created Jupyter notebook detailing data methodologies. Implemented regression and random forest models predicting graduate student outcomes.
  • Developed Shiny dashboard with predictive insights, enabling trend exploration and forecasting conditional student admissions.
  • Implemented and integrated regression and random forest models into dashboard, predicting incoming graduate student outcomes.
Financial Aid Administrator
Rowan College South Jersey		 Oct 2016 - Aug 2023
  • Managed Federal Work-Study program for 5 years, optimizing the budget through datadriven analysis and expanding funds from $30,000 to $80,000.
  • Verified and validated student verification data to award and pay on student accounts.
  • Oversaw file room and digital file room to ensure all documents have been correctly filed and scanned.
  • As a subject matter expert presented information

Projects
  • NLP Dashboard for Masters Practicum

    Apart of my internship I developed a dashboard based on data that was web-scraped from teh BBB website, structured into PostgreSQL via pipeline. Then trained NLP models for sentiment, keywords, and key phrases and visualized results in Python Shiny dashboard with other data insights.


    Tools and languages used: Python, JavaScript, Scikit-learn, Selenium, SQLite, Tailwind CSS, JSON


  • Healthcare Eye API

    Deployed and engineered a random forest classifier in a RESTful API, assessing ocular disease risk using demographic (age and gender) inputs for probabilistic predictions.


    Tools and languages used: Python, Nginx, Scikit-Learn, Digital Ocean, Fast API

Contact Me

Email: wilsonkah23@gmail.com