As a data scientist and researcher, I bridge the gap between complex business problems and data solutions.

My data science career has spanned the healthcare, finance, and technology industries, with projects ranging from ad hoc statistical analysis to production-grade machine learning systems.

As a Ph.D. student specializing in deep learning-based computer vision and image compression, my goal is to build ethical and energy-conscious machine learning solutions to help autonomous systems better perceive the world around them.

If you’d like to learn more about my approach to technical problems, project design, or team development, please feel free to reach out.

Education | Work | Instruction | Toolbox

Education

University of Missouri - Kansas City
- Research Area: Multi-sensor fusion for deep learning-based image compression
- Courses:
  - Computer Vision
  - Deep Learning
  - Compression
  - Algorithms
  - NLP
Kansas State University
- Thesis: The Application and Interpretation of the Two-Parameter Item Response Model in the Context of Replicated Preference Testing
- Courses:
  - Statistical Theory
  - Statistical Computing
  - Experimental Design
  - Consulting
  - Linear Models
  - Survival Analysis
Kansas State University
- Research Programs:
  - Summer Institute for Training in Biostatistics (University of Pittsburgh)
  - Mount Holyoke College REU
- Courses:
  - Statistics
  - Calculus
  - C++ Programming
  - Linear Algebra
  - Experimental Design
  - Real Analysis
  - Topology
  - Number Theory
  - Engineering Physics

Work Experience

- LADDER
  - Summary: Device error remediation through a scalable system with multiple standalone components - includes anomaly detection for 15+ metrics, risk modeling for 4 failure types, risk attribution, and proactive remediation
  - Role: Architect, Project Manager, & Lead Developer
  - Tech: PySpark, Pandas, scikit-survival, Airflow, EMR
- Smart DEX
  - Summary: Reimagining of device experience score from weighted averages to supervised user sentiment prediction
  - Role: Architect & Lead Developer
  - Tech: PySpark, PyTorch, EMR
- Personas
  - Summary: Software/hardware usage clustering for HP device recommendation
  - Role: Architect & Project Manager
  - Tech: PySpark, MLlib, Airflow, EMR
- Fleet Simulator
  - Summary: Suite of telemetry and failure models to simulate/optimize performance based on device specifications
  - Role: Architect, Project Manager, & Lead Developer
  - Tech: PySpark, Pandas, statsmodels, scikit-learn, hyperopt, matplotlib, Airflow, EMR
- xlr8
  - Summary: Utilities for data science acceleration, including feature engineering, data I/O, and logging
  - Role: Architect & Lead Developer
  - Tech: PySpark, Pandas, AWS SDK, Keras, pymsteams
- Algorithm Optimization
  - Summary: Research and experimentation on constrained 2-D Knapsack Problem for revenue optimization - discovered small adjustment worth $350k/year, identified future research paths for transformational improvements
  - Role: Lead Developer
  - Tech: Python, Redshift
- Customer Targeting
  - Summary: Refreshed targeting system with improved conversion rates and efficiency - this required a paradigm shift in customer prioritization from predicted conversion likelihood to predicted effects of engagement
  - Role: Architect & Lead Developer
  - Tech: Python, SageMaker AutoPilot, Pandas, Redshift, Salesforce
- Revenue Forecasting
  - Summary: Ensemble forecasting model to improve on manual budgeting process
  - Role: Architect & Lead Developer
  - Tech: XGBoost, Prophet, sktime, Pandas, Redshift
- Cognitive Processing Engine
  - Summary: Data extraction from unstructured PDFs, using CNN-based clustering and object detection - projected to reduce operational costs by more than $1M per year
  - Role: Architect & Lead Developer
  - Tech: Python, Azure Cognitive Services, Keras, scikit-learn, tkinter, SQL Server
- Customer Targeting
  - Summary: Tableau dashboard and analysis to prioritize customers with greatest predicted engagement impact
  - Role: Analyst
  - Tech: Tableau, SQL Server, R
- Sales Assistant
  - Summary: Automated prospecting, web scraping, and data aggregation for pre-sales intelligence
  - Role: Lead Developer
  - Tech: SQL Server, Python, Salesforce
- Affordable Care Act Utilization
  - Summary: Intervention analysis to investigate the effects of the ACA (prepared for the Clinton 2016 campaign)
  - Role: Developer
  - Tech: R, SQL Server
- Executive-Level Claims Dashboard
  - Summary: Comprehensive claims and utilization dashboard for large healthcare organizations - this was Epic's first Tableau product offering and won an internal award for achievement
  - Role: Data Specialist (Simulated dataset for product demo)
  - Tech: Tableau, Excel

Instructional Experience

Kansas State University - Salina
Advise on the structure and desired outcomes of the Machine Learning and Autonomous Systems program
Kansas State University - Salina
Instructed two short courses comprising the Applied Data Science & Machine Learning Professional Certificate, designed to teach industry professionals the fundamentals of DS/ML
- Introduction to Data Science - Data management, analysis, and feature engineering using SQL
- Introduction to Machine Learning - Supervised and unsupervised learning with Python
Kansas State University - College of Business
Led a series of workshops for students in the M.S. Data Analytics program
- Machine Learning - Classification (2022)
- Data Wrangling (2021)
- Careers in Data Science (2020-2021)
- Machine Learning - Forecasting (2020)
Kansas State University - Dept. of Statistics
Advised university researchers on a wide variety of statistical topics through the Statistical Consulting Lab, including experimental design, repeated measures analysis, logistic regression analysis, and model interpretation
Kansas State University - Dept. of Statistics
Designed curriculum, instructed, and tutored for Business and Economics Statistics I & II
Kansas State University
Undergraduate-level tutoring for various mathematics and statistics courses, through the Scholars Assisting Scholars program, the Statistics Help Lab, and the K-State Athletic Department
Kansas State University - Choral Music Division
Served as Lead Counselor for the highly selective Summer Choral Institute, designed to build leadership and musical skills in top-performing high school students