Carmen Viviana Diaz

Recent Economics graduate with a strong foundation in data analysis, seeking a business-focused role. Experienced in data analysis, process improvement, and management. Skilled at using Python's statistical libraries, Power BI, SQL, and Microsoft Office Suite. Planning to pursue a Master's in Business Analytics to further enhance analytical capabilities.

Key Skills:

- Python Statistical Libraries: (NumPy, Pandas, MatPlotLib, SciPy, StatsModel)
- Power BI
- SQL
- Excel
- Process Improvement
- Statistical Modeling
- Client Management
- CRM Software
- Real Estate Platforms (MLS, Matrix)

As a Process Improvement Assistant Manager, I analyzed workflows for eight client offices, identified inefficiencies, and developed standardized work instructions with the Process Improvement Manager. I trained staff on new protocols and monitored their implementation, ensuring adherence and effectiveness. Additionally, I assisted the CFO with administrative tasks, such as verifying profit/loss reports, processing large cash payments, and handling medical financing applications. Previously, as an Administrative Assistant, I supported loan processing, utilized CRM software to route applications, reviewed documents for accuracy, and managed various administrative duties. As a Realtor, I attended training on lead generation and market analysis, became proficient with MLS and Matrix platforms, and managed transactions to ensure successful contract finalization.

My Bachelor's degree in Economics from Florida International University provided a strong foundation in economic theory, but my true passion lies in leveraging data to uncover meaningful insights. This passion flourished in my econometrics courses, where I transitioned from theoretical concepts to hands-on analysis using real-world data.

Data Analysis Expertise:

• Skilled in Python: Possess a strong understanding of Python programming and its powerful statistical libraries like Pandas, NumPy, and SciPy. These allow me to efficiently clean, manipulate, and analyze large datasets.
• Econometric Modeling: Experienced in applying econometric models like the "Difference-in-Difference Model" I used in my capstone project to analyze the impact of COVID-19 on food insecurity.
• Hypothesis Testing: Adept at utilizing statistical libraries to conduct hypothesis testing and validate the robustness of findings.

My capstone project involved analyzing a massive national survey with 1.2 million observations from the U.S. Census Bureau's Household Pulse Survey. This experience equipped me with the skills to handle large datasets efficiently and extract valuable insights

Relevant Coursework: Econometrics, Calculus for Business, Microcomputer Applications for Business, Computer Data Analysis, Statistics for Business and Economics,Measurement & Analysis of Economic Activity