Wes Service
Eugene,OR
Summary
Data Scientist and former Business Intelligence Analyst with 8+ years of experience applying data-driven strategies and product development in high-volume, multi-location industries. Experienced in working with executive stakeholders and guiding cross-functional teams to design, build, and implement AI-powered software solutions. Background includes work with recommender systems, forecasting, and neural networks, along with hands-on use of SQL, Python, and enterprise-scale data analysis tools. Comfortable quantifying EBITDA impact, identifying high-value transformation opportunities, and contributing in fast-paced, evolving environments.
Overview
9
9
years of professional experience
Work History
Data Scientist
J&J Gaming
12.2024 - Current
- Develop predictive models using machine learning techniques (LightGBM, neural networks) for forecasting and optimization.
- Build and maintain recommender systems for product placement based on customer engagement.
- Lead analytical projects to improve operational efficiency and revenue growth.
Business Intelligence Analyst
J&J Gaming
04.2021 - 12.2024
- Designed and maintained automated RPA and ETL pipelines for multi-source data integration.
- Created Tableau and SSRS dashboards for executive and operational decision-making.
- Conducted statistical analyses to measure market impacts and slot machine performance changes.
- Provided small business consulting to location owners, delivering data-driven insights on revenue performance, market competition, and operational improvements.
Business Intelligence Analyst
Illinois Gaming Systems
06.2016 - 04.2021
- Managed reporting infrastructure for gaming operations across 250+ locations.
- Developed SQL-based reporting and analysis tools to support leadership decisions.
- Designed and implemented a cash reconciliation program that tracked expected cash flow across 250 locations and matched it against bank deposit records, improving accuracy and reducing discrepancies.
Education
Bachelor of Science - Physics
University of Puget Sound
Tacoma, WA05-2015
Skills
- Data Science: Recommender Systems, Forecasting, Neural Networks, Machine Learning, Statistical Analysis, Graph Databases
- Tools & Languages: Python (Pandas, PyTorch, LightGBM, selenium), SQL, Tableau, Power BI, SSRS, Excel, Neo4j
- Other: Data Pipeline Automation, Feature Engineering, Model Deployment
- Small Business Consulting: Competitive Analysis, Asset Performance Optimization, Marketing Spend Allocation, Customer Relationship Management, Executive Stakeholder Engagement
Timeline
Data Scientist
J&J Gaming
12.2024 - Current
Business Intelligence Analyst
J&J Gaming
04.2021 - 12.2024
Business Intelligence Analyst
Illinois Gaming Systems
06.2016 - 04.2021
Bachelor of Science - Physics
University of Puget Sound
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