Degree
B.S. – Data Analytics
Curriculum spanned programming in Python, R, and Java alongside advanced statistics, AI/machine learning coursework, and exposure to big-data stacks such as Hadoop and Spark.
Data Scientist
Data science and analytics,
made actionable
I’m Daniel Short, a data scientist working across analytics, automation, and machine learning. I build reliable systems in Python and SQL so stakeholders can act with confidence.
Python · SQL · Tableau · Machine Learning
Project Examples
A quick snapshot of end-to-end work across machine learning demos, analytics ETL, and computer vision pipelines.
Certifications & Degrees
A single view of formal education and industry credentials.
Degree
M.S. – Data Science
Degree covering Python, R, SQL, and statistical modeling with electives in data manipulation, visualization, machine learning, and an applied capstone project.
No public credential available; verification provided upon request.
Certification
IBM Data Analyst Professional Certificate
Built Excel, SQL, Python, and Cognos workflows inside Jupyter Notebooks, culminating in a capstone that applies the toolkit to a real-world analytics scenario.
Certification
IBM Machine Learning Professional Certificate
Covered supervised, unsupervised, deep, and reinforcement learning with dedicated regression, classification, and clustering courses using scikit-learn, TensorFlow, Keras, and a final capstone.
Certification
Google Data Analytics Professional Certificate
Completed data cleaning and preparation pipelines, built Tableau dashboards, and delivered an end-to-end R/SQL case study focused on stakeholder-ready storytelling.
Certification
Google Advanced Data Analytics Professional Certificate
Worked through seven Jupyter Notebook-based courses using Python and Tableau to practice regression, statistics, machine learning, and experimental design before a culminating capstone.
Certification
Google Analytics Certification
Validated proficiency in GA4 implementation, conversion tracking, event modeling, and insight generation using the latest Analytics interface.
Work Experience
Recent roles with measurable impact across retail analytics, data quality, and destination management.
Target
June 2022 – November 2023
Asset Protection Data Analyst
- Designed enterprise dashboards adopted company-wide, surfacing trends that raised theft reports 57.6%.
- Analytics-driven initiatives increased theft prevention by 180% and reduced inventory loss by 24%.
- Presented technical information to non-technical audiences, translating analytics into operational action.
Randall Reilly
November 2023 – January 2024
AI Data Quality Analyst
- Re-platformed R workflows to a one-click Python app, trimming processing time 95%.
- Built decision-tree models that expanded serial-number tracking by 10x+ while flagging anomalies with 98% precision.
- Developed an autoencoder model using PyTorch, improving data quality through error detection.
Visit Grand Junction
February 2024 – Present
Business Analyst
- Automate weekly reporting in Python, cutting turnaround time by 99%, saving 200+ hours per year.
- Deploy an NLP link-repair model that lifted site traffic 750% and engagement 56%.
- Drive a 565% jump in page-views and 122% more sessions by embedding ML insights in campaigns.
Skills in Practice
Certifications & Degrees
Credentials and formal education supporting analytics and machine learning work.
Open to Data Science related roles
I’m open to full-time data science related roles across analytics and machine learning, plus selective freelance work. If you’d like to discuss an opportunity, send a quick note.