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).