About Me

I'm an engineering data scientist driven by curiosity and a passion for improving systems through efficiency gains. Currently serving as a Senior Data Scientist at Paccar, I specialize in developing and deploying AI/ML-enabled models, managing data pipelines, and leading technical teams.

My expertise lies at the intersection of programming and driving business value, with a proven track record of transforming raw data into meaningful, high-impact solutions. I bring several years of experience in advanced analytics, machine learning operations, and cross-functional collaboration.

Education

  • MSc Analytics - Georgia Tech
  • MSc Mechanical Engineering - NC State
  • BSc Aerospace Engineering - NC State

Core Expertise

Programming

Python SQL Git R

Data Science

Machine Learning NLP Deep Learning Computer Vision

MLOps

Docker GCP FastAPI GitHub Actions

Professional Experience

Download Full Resume

Senior Data Scientist

Paccar May 2024 - Present

Leading advanced analytics initiatives in Paccar's analytics organization, with focus on AI/ML model development and deployment, data pipeline management, and technical team leadership.

Key Achievements:

  • Lead data scientist for Paccar Financial projects, developing end-to-end models for financial product rates, sale price prediction, and inventory similarity matching
  • Conducted international workshop in Netherlands for DAF analytics team on data science and MLOps best practices
  • Designed comprehensive ML pipeline workshops covering GCP, Snowflake, FastAPI, Docker, and CI/CD implementation
  • Performed drive-train reliability analysis using Cox Proportional Hazards and Weibull distributions for Monte Carlo failure simulation

Data Scientist

Paccar September 2021 - May 2024

Developed and maintained production ML models, implemented CI/CD pipelines, and provided technical guidance on data science product architecture.

Technical Skills

Programming

Python, SQL, Git, Bash, R, VBA, Java, Matlab, Fortran

Data Science

Machine Learning, NLP, LLMs, Deep Learning, Computer Vision, Time Series Analysis, Bayesian Statistics

MLOps

GitHub Actions, Docker, GCP, FastAPI, AWS, Linux/WSL2, DVC

Collaboration

Agile/Scrum, Jira, Code Reviews, Technical Presentations, Team Leadership

Portfolio

A showcase of my data science projects, technical implementations, and professional contributions.

Financial ML Pipeline

Production

End-to-end machine learning pipeline for financial product rate prediction, sale price modeling, and inventory similarity matching. Implemented with FastAPI, Docker, and GCP deployment.

Python FastAPI Docker GCP GitHub Actions

Reliability Analysis System

Analytics

Monte Carlo simulation system for drive-train reliability analysis using Cox Proportional Hazards and Weibull distributions to model potential failures and estimate business liabilities.

Python Statistics Monte Carlo Survival Analysis

MLOps Workshop Series

Education

Comprehensive workshop curriculum covering end-to-end ML pipelines: from GCP setup and Snowflake integration to model deployment with CI/CD automation.

GCP Snowflake Docker CI/CD DVC

Real-time Inference Architecture

Architecture

Designed streaming data architecture for warranty inference system utilizing Kafka streaming with custom connectors for real-time model inference and logging.

Kafka Streaming System Design Real-time ML

Pong

Classic Pong game built with HTML5 Canvas and vanilla JavaScript. Use the UP and DOWN arrow keys to control your paddle!

Player

0
VS

Computer

0

Controls: Use ↑ and ↓ arrow keys to move your paddle

Shortcuts: Space = Start/Pause • R = Reset

Goal: First to 3 points wins!