I am a pragmatic and results-oriented Data Scientist with over 10 years of experience delivering production-grade machine learning solutions across the automotive, finance, and education sectors. Passionate about solving real-world problems using statistical modeling, computer vision, and NLP. Proven ability to lead cross-functional projects, to design and implement robust MLOps pipelines using Databricks, Docker, and CI/CD best practices. Adept at working in collaborative environments and translating complex data into strategic business outcomes.
Professional Experience
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section Education
Bachelor :done, e1, 2007-08, 4y
Masters :done, e2, after e1, 2y
section Work Experience
Pellissippi State :done, w1, after e2, 2y
Elavon :done, w2, after w1, 3y
DENSO :active, w3, after w2, 8y
Data Scientist III
DENSO International America, INC. Maryville, TN July 2018 – Present
Collaborated with MIT to simulate and analyze supply chain resilience using Gurobi and GIS datasets, informing risk mitigation plans for natural disasters.
Developed a computer vision defect detection system using segmentation-based CNNs and convolutional autoencoders, deployed via Flask, containerized, and integrated for robotic process control using OPCUA, reducing defect rates and human inspection costs.
Led deployment of Databricks-based pipelines for time series analysis and predictive maintenance, leveraging Data Quality Pipelines, MLflow for experiment tracking, and Unity Catalog for data and model asset management.
Built NLP models using sentence embeddings and UMAP for clustering procurement descriptions, improving spend visibility and optimizing purchasing processes.
Led the Data Science Internship Program, handling hiring, project scoping, daily standups, and mentorship; delivered production-quality NLP and analytics solutions while establishing training resources and workflows for future prospects.
Accurately forecasted the COVID-19 case peak using an SEIR model 16 months in advance (8-day margin of error), enabling proactive workforce planning and minimizing disruption to manufacturing operations.
Established an Enterprise CI/CD pipeline using Azure Devops with Databricks, as well as GitLab with Docker to automate testing and deployment of ML applications with API endpoints
Business Analyst II ← DBA ← Fraud Analyst
Elavon Knoxville, TN Nov 2015 – July 2018
Improved fraud detection accuracy and work queue triage, resulting in an additional $200K in annual fraud prevention.
Built a web scraping tool that halved account investigation time, with estimated annual savings between $25K–$50K.
Founded and led the Dedicated Solutions Team to automate reporting and data quality monitoring for internal business units.
Recognised with the Pinnacle Award (top 10% company-wide performance) in 2016.
Adjunct Mathematics Professor
Pellissippi State Community College Knoxville, TN Aug 2013 – Nov 2015
Taught Statistics, Algebra, and Business Calculus, supporting diverse learners and maintaining strong student outcomes.
Education
Masters of Science in Mathematics
University of Tennessee - Knoxville, TN
GPA: 3.97/4.0
Bachelor of Science in Mathematics
Murray State University - Murray, KY
GPA: 3.81/4.0
Skills
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Machine Learning and AI
Supervised & Unsupervised Leaening
Anomaly Detection
Natural Language Processing
Computer Vision
Optimization & Simulation
Programming and Frameworks
Python
Bash
SQL
Spark
MLOps
Data & BI Tools
DOMO
Tableau
Data Modeling
Feature Engineering
Platforms and Infrastructure
Databricks
Gitlab CI/CD
Azure Cloud
Azure Devops
Linux
Collaberation and Leadership
Agile and Scrum
Technical Mentorship
Cross Functional Communication/Leadership