About
A bit about who I am and what I do.
I'm a data and business intelligence professional with 8+ years of experience working with SQL Server, Power BI, SSRS, and enterprise applications in manufacturing and operations environments.
I specialize in designing end-to-end analytics solutions: from understanding business requirements and mapping data sources, to building data models, dashboards, and reports that drive real decisions.
I enjoy working at the intersection of data, operations, and people - translating technical details into practical insights for stakeholders. I'm bilingual (English & Spanish) and comfortable collaborating with both technical and non-technical teams.
Currently
- Manufacturing Solutions Specialist at Armstrong World Industries
- Building SQL-driven reporting and Power BI dashboards across multiple plants
- Actively pursuing the Google Data Analytics Professional Certificate
Looking For Opportunities in
Data Analytics / Business Intelligence / Decision Intelligence where I can own data products end-to-end and help organizations get more value out of their data.
Skills
Tools and technologies I use to build data solutions.
Projects
Examples of how I've used data to solve real problems.
Experience
Where I've been applying my skills.
Education & Certifications
B.S. Human Development & Family Studies
Penn State University-Capital College
Minor: Psychological Science · May 2015
Google Data Analytics Professional Certificate
Coursera / Google
In Progress
Coursework in data cleaning, analysis, visualization, and data-driven decision-making using tools like SQL, spreadsheets, and BI platforms.
ITIL Foundations Certification
May 2019
Understanding of IT service management best practices, processes, and lifecycle.
Contact
Let's talk about data, BI, and how I can help your team.
Email: matos292@gmail.com
Location: Mount Wolf, PA (USA)
LinkedIn: linkedin.com/in/manuel-matos-69348bb4
If you'd like to see more detail on any project (or a tailored walkthrough), feel free to reach out — I'm happy to dive deeper into the data and decisions behind the work.