Logan Hahn
Denver,CO
Summary
Data Scientist with a Master's in Data Science (4.0 GPA) and expertise in machine learning, AI, and advanced analytics. Skilled in Python, SQL, and R with experience working with large, complex datasets to deliver actionable insights. Harnesses AI to improve efficiency and augment traditional analysis, while comfortable translating results into clear recommendations for both technical and business audiences.
Overview
4
4
years of professional experience
Work History
Research Analyst/Administrative Assistant
University of Denver
08.2023 - 06.2025
- Organized a 400+ attendee psychology conference, streamlining session navigation and presenter info with excel.
- Optimized student record database with SQL indexing, cutting retrieval time and improving accessibility.
- Collected and analyzed sports science resource data with Python (pandas, NumPy), producing insights for a published research article.
System Sales Associate
Reynolds & Reynolds
10.2021 - 10.2022
- Delivered over 30 solution presentations to dealership decision-makers, effectively showcasing product value and functionality to drive informed purchasing decisions.
- Analyzed territory sales data using Excel and CRM reporting tools to identify high-potential leads and refine sales practices, resulting in a 25% improved pipeline efficiency and higher conversion rates. (My introduction to data analytics)
Education
MS - Data Science
University of Denver
Denver, CO06.2025
B.S. - Health and Exercise Science
Colorado State University
Fort Collins, CO05.2021
Skills
- Python: Pandas, Scikit-learn, NumPy, Matplotlib, Seaborn
- SQL
- R
- Supervised Learning Models
- Unsupervised Learning Models
- Model Evaluation
- Data Cleaning
- Data Visualization
- Database Management
- Excel/Sheets
- PowerBI
- Hypothesis Testing/Experimental Design
- AWS
- Gen AI Cloud APIs
Timeline
Research Analyst/Administrative Assistant
University of Denver
08.2023 - 06.2025
System Sales Associate
Reynolds & Reynolds
10.2021 - 10.2022
MS - Data Science
University of Denver
B.S. - Health and Exercise Science
Colorado State University
Data Science Projects
The AI Job Threat Index - Python, VSCode, Git, Kaggle
- Performed data wrangling and feature engineering on two web-scraped datasets (LinkedIn postings, AI task data), including label encoding, type conversion, and salary normalization.
- Conducted exploratory data analysis and K-Means clustering to identify patterns in AI workload, industry susceptibility to automation, and salary impact trends across roles.
- Developed an AI Job Threat Index by merging multi-source datasets and building analytical models to quantify AI's effect on job roles, guiding insights for policymakers and industry stakeholders.
Alzheimer’s Disease Classification Using MRI and CNNs - Transfer Learning for Model Adaptation
- Developed a convolutional neural network to classify MRI scans into Alzheimer’s disease stages, comparing custom CNN architectures with transfer learning approaches using MobileNetV2.
- Fine-tuned pre-trained models on MRI datasets, achieving improved validation accuracy and demonstrating practical understanding of model adaptation.
Bookstore Inventory Search App | Skills/Tools - Python, SQL, tkinter, OOP, DAO design, GUI programming
- Built a multi-tabbed GUI application in Python (tkinter) to search and display book inventory by author, category, andpublisher using modular tab classes, interactive widgets, and dynamic event handling.
- Designed a Python-based Data Access Object (DAO) layer to connect to a MySQL database using mysql-connector,executing complex SQL queries to return normalized data via custom interface classes.