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Tobias Rebant

Data and operations professional. Background in manufacturing analytics and theoretical ML; currently managing residential construction projects while pursuing data roles.

· (509) 381 8678 · Sacramento, CA · github.com/Tobyrrr00

Education

Eastern Washington University — Bachelor of Science in Data Science
June 2024

Skills

Programming
Python, SQL, VBA
Data & ML
pandas, NumPy, scikit-learn, OpenCV, TensorFlow / Keras, Librosa
AI / LLM
OpenAI API, Prompt Engineering, AI Agents
Visualization
Power BI, Matplotlib
Other
Jupyter, Excel / VBA (advanced), Git / GitHub, Data Cleaning & Validation, ETL / Data Pipelines
Spoken
German (Native), Russian (Semi-fluent)

Work Experience

Metals Fabrication Inc. Mar 2024 – May 2025
Data Analyst Airway Heights, WA
  • Developed cross-departmental automated reporting workflows in VBA for Excel for the Estimating / Purchasing department, eliminating an estimated 150+ hours per year of manual reporting across top management.
  • Built an end-to-end document digitization pipeline using Python and OpenCV to process ~3,000 legacy printed spreadsheets, converting them into structured data.
  • Partnered directly with department leads to scope analytical needs, translate business requirements into technical specifications, and deliver iterative improvements.
  • Created a Power BI dashboard to track employee retention, demonstrating trust working with sensitive HR data.
  • Built an AI-powered lead-generation agent using the OpenAI API that turned vague project descriptions from non-technical sales staff into structured research output (GC, funding source, scope, estimated value) to support business development.
N G Floors / Quality Design and Build Sep 2025 – Present
Project Manager and Estimator Sacramento, CA
  • Manage a portfolio of 10+ concurrent residential remodeling projects (typically $200K+ active value), balancing short-turnaround jobs against multi-month renovations while coordinating subcontractors, suppliers, and homeowners.
  • Built an internal project-tracking web app to centralize a fragmented workflow of calendars, sticky notes, and Floorzap; used daily for status updates, lead-source tracking, and task management across all active jobs.

Projects

Undergraduate Thesis — ‘X-Vector Speaker Embedding Systems’ Spring 2024
  • Implemented an audio preprocessing and Mel-scale filter-bank feature-extraction pipeline in Python (Librosa, NumPy); produced a detailed architectural analysis of TDNN-based speaker recognition systems following Snyder et al. (2018).