Analyst
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Data analytics professional with a strong background in operational efficiency, resource optimization, and financial forecasting. I specialize in transforming complex data into actionable insights using SQL, Python, Power BI, and Excel to drive smarter decision-making.
With over six years of experience in the automotive and engineering sectors, I have successfully improved budgeting processes, streamlined workload forecasting, and built dynamic KPI tracking systems that enhance business operations. My expertise in data visualization and predictive modeling allows me to present meaningful trends that support strategic initiatives.
I thrive in collaborative environments where data-driven insights lead to real impact. Whether it’s optimizing engineering resource allocation, improving turnover analysis, or refining budgeting workflows, I’m always looking for ways to bridge the gap between raw data and business success.
Let’s connect to discuss analytics, automation, and how data can drive better outcomes.
🔹 Engineering Budget Analyst II | North American Lighting (2018 – Present)
Optimize budget cycles and workload forecasting, improving resource allocation and planning.
Develop predictive models in SQL and Python to support operational decisions.
Create dynamic Power BI dashboards to deliver actionable insights for leadership.
Implemented an Excel-based KPI tracking system that helped reduce employee turnover.
🔹 Tax Intern | Rehmann Financial Group (2015)
Prepared individual tax returns and conducted financial analyses to ensure compliance.
🔹 Accounts Receivable Clerk | Great Expressions (2016)
Managed account reconciliations and processed insurance claims, improving cash flow management.
🔹 Manager | Super Car Wash Systems (2012 – 2014)
Led a team of six, overseeing daily operations and customer service for high-volume transactions.
Master of Science in Data Analytics – Walsh College, Troy, MI (December 2024)
Bachelor of Accountancy – Walsh College, Troy, MI (June 2015)
