Contact
💻 GitHub
🌐 Website
Skills
Programming:
Python (pandas, NumPy, scikit-learn), R, SQL, ArcGIS Pro, SAS, SPSS, Microsoft Excel
Web / App Tools: ClaudeCode, Codex, MCP, React, Leaflet, Notion Git, Zapier, n8n, Make
Visualization / Design: Tableau, Power BI, Adobe Creative Suite, Canva
Machine Learning & AI: Predictive Modeling, NLP, Model Evaluation, OpenFEMA API integration
Project & Workflow: Scrum, Research, Data Analysis, Data Visualization, Teaching, Customer Service, Grant Writing, Stakeholder Engagement
Languages
🇬🇧 English (Native)
🇨🇳 Mandarin (Intermediate)
🇮🇪 Irish/Gaelic (Intermediate)
Publications & Features
Liam Guest is a product-minded data scientist who builds practical, user-facing tools at the intersection of geospatial data, machine learning, and public impact. Based in Chicago and open to San Francisco or other major hubs.
His work centers on translating complex, ambiguous problems into clear products by combining user research, stakeholder alignment, and data-driven decision making.
Education
Tulane University - Celia Scott Weatherhead School of Public Health M.S.P.H. – Biostatistics & Data Science Admissions Ambassador (Three semesters) Teaching Assistant - Intro to Biostatistics (Three semesters) Grace Peake Scholarship Recipient New Orleans, LA | Dec 2025
Tulane University B.S. Public Health Scholarship: Academic Recognition Award Recipient New Orleans, LA | May 2024
University College Dublin Semester Abroad Dublin, Ireland | Sept 2023
Projects
AURA, AI for Urban Resilience and Alerts Awarded a competitive research grant ($6,500) to design and build a risk assessment model. Managed a cross-functional team to integrate risk models with complex AI while ensuring transparent outputs. Developed a census-tract-level storm damage prediction model by cleaning and engineering features from FEMA Individual Assistance claims and the National Risk Index using Python.
Designed a modern, user-friendly UI for an e-commerce website specializing in selling handknit beanies. The design features a minimalist aesthetic, intuitive navigation, and visually appealing product displays to enhance the shopping experience and drive sales.
Tulane Data Collective is a student-led organization dedicated to advancing data science education and applied analytics at Tulane University. The group connects students from biostatistics, computer science, and public health to explore data-driven approaches to social impact, health, and AI innovation.
Experience
THE WATER INSTITUTE OF THE GULF | Data Science Intern Baton Rouge, LA | Jun 2025 – August 2025
- Designed a YOLO-based object detection pipeline in ArcGIS to automate GIS annotation.
- Identified spatial discrepancies and applied control points to improve geospatial analysis.
- Created spatial visualizations using ArcGIS georeferencing capabilities for hundreds of aerial mosaics.
TULANE UNIVERSITY | Teaching Assistant New Orleans, LA | Aug 2024 – December 2025
- Led twice-weekly office hours serving approximately 50 undergraduates each semester.
- Collaborated with the course professor to provide one-on-one consultations to students who fell behind.
- Assessed and provided feedback for roughly 250 assignments each semester.
CONNOLLY ALEXANDER INSTITUTE FOR DATA SCIENCE (CAIDS) | Program Incubator New Orleans, LA | Aug 2024 – December 2025
- Assigned and managed tasks for a team of five undergraduate students throughout the semester.
- Coordinated weekly meetings with similar programs nationwide to gather insights and foster collaboration.
- Utilized the Scrum project management framework to encourage growth and highlight achievements.
CONNOLLY ALEXANDER INSTITUTE FOR DATA SCIENCE (CAIDS) | Statistical Consultant New Orleans, LA | Aug 2025 - December 2025
- Translated research questions and ambiguous problem statements into appropriate statistical models, analysis plans, and interpretable outputs.
- Advised on study design, data cleaning strategies, and model selection across regression, Bayesian methods, and applied machine learning use cases.
- Communicated results and recommendations clearly to non-technical stakeholders, supporting informed decision making and project direction.
CONNOLLY ALEXANDER INSTITUTE FOR DATA SCIENCE (CAIDS) | Data Research Intern New Orleans, LA | Aug 2024 – May 2025
- Designed and developed websites for five project partners using WordPress.
- Manufactured datasets for a variety of uses, most often cleaning the data to prepare for visualization.
- Created interactive dashboards for presentation to project partners using Power BI and Tableau.
- Utilized platforms like Canva & Tableau to streamline the presentation of data content to project partners.
FEDERAL SAVINGS BANK | Quality Control Analyst Intern Chicago, IL | Dec 2021 – Mar 2022
- Contributed to the Quality Control Department within the Home Lending Division.
- Reported directly to the National Quality Control Operations Manager.
- Evaluated approximately 120 loans daily, ensuring their compliance with federal regulations.
TULANE SPHTM | Admissions Ambassador New Orleans, LA | Oct 2024 – December 2025
- Selected by faculty and staff to represent the Biostatistics and Data Science department.
- Shared firsthand experience with prospective students.
- Actively promoted the Tulane School of Public Health in public campaigns.