Summary
Work History
Education
Skills
Certification
Projects
Websites
SoftwareEngineer
Luke Ganalon

Luke Ganalon

Data Scientist
Newport Beach,CA

Summary

Experienced Data Scientist with a strong track record in deploying computer vision systems and enhancing HPC infrastructure. Skilled in developing end-to-end ML pipelines and utilizing Kubernetes for containerized model deployment. Proven leadership in technical projects and strategic data initiatives, particularly in enterprise modernization and workforce analytics.

Work History

Associate Data Scientist

Trace3
01.2025 - Current
  • Led NIST-based assessment for California R1 university infrastructure, delivering consolidation roadmap and implementing Open OnDemand platform to reduce support tickets and enhance self-service cluster access.
  • Architected production-ready computer vision quality control system processing over 50,000 high-resolution images with sub-200ms inference time, automating critical manufacturing inspections and minimizing manual quality control.
  • Reverse-engineered decades-old COBOL freight management system, documenting complex business logic in Confluence to facilitate knowledge transfer.
  • Implemented Kubernetes and Docker-based deployment strategies for scalable machine learning model serving and infrastructure automation.

Associate People Data Analyst

Trace3
Irvine, California
08.2024 - 01.2025
  • Developed advanced analytics solutions for People Operations data to enhance executive decision-making.
  • Automated dashboard creation using Microsoft Power BI to present critical HR metrics effectively.
  • Led predictive modeling projects that provided actionable recommendations for talent management improvement.
  • Collaborated with senior leadership to address complex business challenges through data-driven insights.

Data & Analytics Intern

Trace3
05.2024 - 08.2024
  • Developed machine learning models utilizing Snowflake Cortex and Databricks Mosaic AI.
  • Engaged in strategic discussions with industry-leading partners to enhance AI ecosystem insights.
  • Completed NVIDIA technical training, focusing on advanced Compute, DGX AI Compute Systems, and Networking.

Graduate Research Assistant

Thompson Policy Institute on Disability - Chapman University
09.2023 - 05.2024
  • Conducted advanced statistical analysis on large-scale survey datasets, processing over 10,000 records using Python and Excel.
  • Built automated data pipeline for efficient survey data processing and developed interactive dashboards for stakeholder presentations.
  • Collaborated with interdisciplinary research team to analyze policy impacts, contributing to evidence-based recommendations.

Lead Data Scientist

Sporting ID11 Analytics
09.2021 - 05.2023
  • Architected models in R, enhancing predictive analytics through hyperparameter optimization.
  • Established best practices for model development and code review within cross-functional team of 8 data analysts and students.
  • Developed comprehensive training curriculum for R programming and Tableau visualization, onboarding over five new team members.

Education

Master of Science - Computational and Data Sciences

Chapman University, Schmid College of Science and Technology
Orange, CA
05.2023

Bachelor of Science - Business Administration, Analytics Minor

Chapman University, Argyros School of Business And Economics
Orange, CA
05.2023

Skills

ML/AI Frameworks & Algorithms: PyTorch, TensorFlow, Keras, Scikit-Learn, XGBoost, Computer Vision, Natural Language Processing, Deep Learning, Time Series Analysis, Bayesian Statistics, Anomaly Detection

ML Engineering & MLOps: MLflow, Kubernetes, Docker, CI/CD Pipelines, Model Monitoring, A/B Testing, Hyperparameter Tuning, Model Inference Optimization

Programming & Development: Python, R, SQL, C, CUDA, Git/GitHub, Linux/Unix

Cloud Platforms & Infrastructure: AWS, GCP, High Performance Computing (HPC), NVIDIA DGX Systems

Data Platforms & Processing: Snowflake, Databricks, Snowflake Cortex, Databricks Mosaic AI, PostgreSQL, Pandas, NumPy, SciPy

Visualization & Business Intelligence: Tableau, Microsoft Power BI, Matplotlib, Seaborn, Statistical Analysis

Certification

  • Scrum Master Certification Specialization
  • IBM Data Science Professional Certificate
  • NVIDIA Technical Training (GPU Computing, DGX AI Systems, Networking, AI, Virtual Desktops, Omniverse, Visualization)

Projects

Movie Rating Distribution Analysis

Implemented unsupervised learning algorithms (K-Means, Hierarchical Clustering) to cluster movies based on IMDB rating patterns using Python. Applied information theory metrics (KL Divergence, JS Divergence) to measure statistical distances between rating distributions. Developed comprehensive unit testing framework to validate statistical computations and clustering algorithms. Built reproducible research pipeline with version control and automated testing for model validation.

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