Data Entry Business Systems

JOLEEN MUNOZ

279-***-**** ************@*****.***

www.linkedin.com/in/joleenm

EDUCATION

California State University - Sacramento August 2021 - May 2024 Bachelor’s, Business Systems Analytics

PROFESSIONAL EXPERIENCE

Royal Electric Company: Sacramento, CA,

Data Entry Specialist (AP + Procurement) Feb.2025 -Present

• Processed 80–120 vendor invoices daily with precision using Spectrum ERP, ensuring data matched POs and compliance standards.

• Use Excel functions (VLOOKUP, PivotTables, conditional formatting) and ERP tools (Spectrum) to cross-check invoice and PO data, ensuring accuracy and consistency across departments.

• Support data validation and error resolution workflows, identifying discrepancies related to pricing, tax rates, PODs, and PO approvals.

• Track and prioritize urgent check requests and reimbursements tied to lean releases, construction timelines, and project-critical payments.

• Communicate directly with vendors and supply chain buyers to clarify mismatched data, request updates, and ensure payment readiness.

• Collaborate with project approvers and department leads to monitor PO lifecycles, maintain data integrity, and support timely financial closings.

RELATED PROJECTS

Sacramento, CA, USA

Predictive Modeling for Velocity SBA

• Developed a predictive modeling algorithm for a school project, which was reviewed by multiple SBA lenders as a potential tool to assess loan eligibility.

• Optimized model performance through hyperparameter tuning and cross-validation using metrics such as accuracy, precision, and AUC-ROC

• Applied machine learning techniques including Logistic Regression, Decision Trees, Random Forest, kNN, Gradient Boosting Machines, and Bayesian Statistics.

Sacramento, CA, USA

iPhone Clinic Repair Services

• Achieved 14% increased profit through inventory savings by performing cost analysis of top repair yielding $10,000+ savings per year.

• Presented results using Tableau and Excel to stakeholders after data cleaning and gathering, comparing against competitors. Sacramento, CA, USA

Strategic Market & Competitor Analysis for Nordstrom

• Product Data Analysis: Conducted detailed analysis of Nordstrom product data, revealing significant understanding on product distribution, pricing, promotions, and customer ratings.

• Evaluated promotional strategies, finding that 92% of products had minimal or no discounts. Identified that only 8% of products were on promotion, leading to optimization efforts to improve revenue.

• Discovered that 72% of products received poor ratings, 21% received good ratings and only 7% received average ratings. These insights informed quality improvement initiatives and customer satisfaction strategies. SKILLS & INTERESTS

Data Analysis & Visualization: Python, R, SQL, PowerBI, Tableau, Jupyter Notebook, Excel, JMP, Microsoft SQL Machine Learning/Deep Learning: Scikit-Learn, TensorFlow, NLP, PCA, SVM, Random Forest, Decision Trees, Backpropagation Business Skills: Financial modeling, data-driven decision-making, reporting, and presentation skill

Contact this candidate