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 Science
Data Science,
Made Actionable
I focus on the modeling side of my portfolio: NLP, computer vision, generative models, evaluation tradeoffs, and the engineering work required to get demos deployed.
Python · PyTorch · NLP · AWS
Applied Modeling With Measured Impact
The strongest examples here connect modeling work to measurable outcomes: faster data-quality workflows, broader tracking coverage, stronger anomaly detection, and NLP-guided website improvements.
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95% Cut delivery time by re-platforming R-based quality workflows into a one-click Python app.
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10x Expanded serial tracking coverage with decision-tree logic at Randall Reilly.
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98% Reached anomaly precision in data-quality detection workflows.
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+14.13% Raised VisitGrandJunction.com pageviews per user after NLP-guided site analysis and fix recommendations.
Applied ML That Ships
The best examples here are not just model experiments. They show how retrieval, evaluation, deployment, and interface choices work together to make the output useful.
Project Focus
Delivered Value
NLP retrieval
Faster knowledge search with better relevance than keyword matching
Model evaluation
Higher trust in predictions, rankings, and recommended outputs
Computer vision
Real-time pattern recognition inside a usable browser demo
Deployment
Working tools instead of static screenshots or notebook claims
Project Examples
A quick look at retrieval, model deployment, and applied machine-learning interfaces.
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 data quality, applied modeling, reporting automation, and broader business analysis.
Target
June 2022 – November 2023
Asset Protection Data Analyst
- Designed dashboards that boosted theft reporting by 57.6% and increased prevention 180%.
- Reduced inventory loss by 24% through analytics-driven investigations and tooling.
- Presented actionable insights to non-technical stakeholders across multiple teams.
Randall Reilly
November 2023 – January 2024
AI Data Quality Analyst
- Re-platformed R workflows into a one-click Python app, cutting delivery time by 95%.
- Expanded serial tracking by 10x with decision trees and delivered 98% anomaly precision.
- Deployed an autoencoder model that lifted overall data quality for downstream analytics.
Visit Grand Junction
February 2024 – Present
Business Analyst
- Automated Industry Data Reports and stakeholder reporting, saving 200+ hours annually and cutting turnaround 99%.
- Authored semimonthly council and stakeholder updates using tourism, lodging, and web-performance data.
- Identified lodging cannibalization by reconciling tax records with occupancy, ADR, and RevPAR, shaping council updates and strategy.
- Researched traveler trends and AI search behavior to guide content and GEO strategy, contributing to +9.4% organic sessions and 10x AI referrals YoY.
Skills in Practice
Programming(Python)
Trained a reinforcement learning agent to solve 5×5 puzzles.Data Visualization(Tableau)
Cut delivery decision time from 5 min to 1 min with a live KPI dashboard.SQL & ETL(MSSQL, Python)
Flagged outlier stores and regions using anomaly detection (anonymized).Data Wrangling(Pandas)
Built an early-warning ICU risk model and explained drivers with SHAP.Machine Learning(PyTorch)
Deployed a CNN that reads digits with ~99% accuracy and scored my handwriting on a personal sample.Regression Analysis(Excel)
Found apartment deliveries tended to tip less; order cost was the strongest predictor.Certifications & Degrees
Credentials and formal education supporting analytics and machine learning work.
Open to data science, applied ML, and NLP roles
I’m open to full-time roles across data science, applied machine learning, NLP, and modeling-heavy analytics work. If you’d like to discuss an opportunity, send a quick note.