Hello. I'm Lillian Welsh
A Data Analyst
with a background in scientific research and education

Bicycle Intelligence

Power BI | DAX

Multi-page Power BI dashboard employing slicer panels, maps, drillthrough filters, and custom navigation buttons

Tumor Predictions

rmarkdown | Bagging | Random Forest | Boosting

Four Machine Learning classification algorithms were built and compared in their ability to predict the Grade of gliomas based on the presence or absence of mutations in 15 Genes.

Manufacturing Analysis

Python | Seaborn | Matplotlib

Using Python to investigate an incidident at a Flotation Plant

People Analytics

R Studio

Statistical analysis of HR attrition data in R Studio investigating claims of ageism at a leading tech firm.

NBA Stats

Tableau Story

Created a Story in Tableau Public analyzing team and player performance for the '21-'22 NBA season.

Healthcare Analysis

SQL

This is a SQL Analysis of 10yrs of hostpital data on diabetic patient encounters from the UC Irvine Machine Learning Repository. I used various SQL Functions, Statements, and Clauses in MySQL Workbench to find data regarding laboratory results and patient re-admissions from two tables with both patient encounter and patient demographic data.

State of Education

Tableau Dashboard

Created an interactive dashboard on Tableau Public using data from the Massachusetts Department of Education on school performance and district budgets.

Food Delivery Project

Excel

Here, I analyzed a food delivery dataset from Kaggle to analyze trends based on customer demographics.

Movielens Project

RStudio | rmarkdown | Regression

In 2006, Netflix launched a competition to improve upon their in-house movie recommender software. This project used a 10-million-row subset of movie ratings data called MovieLens to create a Machine Learning algorithm using some of the methods employed by the winners of that competition.

• EXPERIENCE
• EDUCATION
• RÉSUMÉ

About Me

I have experience analyzing and visualizing data with SQL, R, Python, Tableau, PowerBI, Excel, and Machine Learning. I have worked as a researcher, field biologist, and high school science/math teacher. I am also a certified Project Management Professional.

I have a Master of Science degree in Marine Biology from Florida Atlantic University. My research has been published in the International Journal of Psychology and Toxicology and Applied Pharmocology. After graduate school, I continued my education through online courses and Data Science bootcamps. I am currently enrolled in the Data Analytics Accelerator and the Harvard Edx Data Science Professional Program (expected completion August 2023).

I am always looking for feedback, collaboration, and new opportunities. View my résumé here.