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Timothy Creekmore

Professional Summary

Junior Software Developer and Lyon College graduate with dual degrees in Computer Science and Data Science. Experienced in software development, Python, R, SQL, machine learning, predictive modeling, OCR/data extraction, and practical AI engineering workflows. Brings a strong troubleshooting background from years as an appliance repair technician, with a focus on turning ambiguous problems into reliable systems.

Technical Skills

Languages: Python, R, SQL, Java, JavaScript, HTML/CSS, C/C++
Data / ML: pandas, NumPy, scikit-learn, XGBoost, GBM, Random Forest, regression, EDA, visualization, model evaluation
AI / Automation: LLM API integration, prompt/workflow design, OCR pipelines, structured extraction, validation workflows
Tools: Git/GitHub, Azure Document Intelligence, SQLite/PostgreSQL, Tailwind CSS, Unity/C#

Professional Experience

Junior Software DeveloperLifeplus
June 2025 – Present
  • Develop and maintain software features, bug fixes, and internal tooling as part of a production software team.
  • Collaborate with senior developers to understand requirements, debug issues, review implementation details, and ship reliable updates.
  • Apply programming, database, automation, and data-analysis skills to improve business workflows.
  • Bring a troubleshooting-first mindset to diagnosing defects, tracing root causes, and communicating technical findings clearly.
Appliance Repair TechnicianAlpine Appliance, Batesville, AR
August 2017 – 2024
  • Diagnosed and repaired a wide range of appliance issues across brands, models, and equipment ages.
  • Communicated repair options and technical findings to customers clearly.
  • Managed daily schedules, parts, component inventories, and field-service priorities.

Projects

ProphetCMA — Real Estate Price Prediction
R, GBM, XGBoost, kNN, Random Forest
  • Built an R-based ensemble modeling pipeline to automate Comparative Market Analysis for residential real estate.
  • Compared Linear Regression, kNN, Random Forest, GBM, and XGBoost using MAE/RMSE.
  • Achieved best result with a 15% XGBoost / 85% GBM blend: MAE 6,776 and RMSE 11,166.
Signature Data Extraction
Python, Azure Document Intelligence, OCR
  • Built a Python + Azure Document Intelligence OCR pipeline to convert scanned signature sheets into structured CSV output.
  • Used validation logic and confidence review to separate reliable printed fields from low-confidence handwritten signatures.
Portfolio Site
Astro, Tailwind CSS, Playwright
  • Built this portfolio site with Astro and Tailwind CSS: SEO metadata, shared navigation, a CSS-drift and broken-link guard on every build, and a zero-diff Playwright visual regression suite.
Unity Game Lab
Unity URP, C#
  • Building a Unity URP world demo with procedural terrain, biome data assets, editor tooling, and C# placement systems.

Education

Lyon College — Batesville, AR
Graduated May 2025