Hi, I'm Vicent Marti, a Financial Analyst at Compass Group with a passion for global business, finance, and technology.
Before transitioning into finance, I spent years as a high-performance cyclist, competing across Europe. This experience not only shaped my discipline and resilience but also made me realize that I wanted to pursue a career where I could apply my competitive mindset and analytical skills in a new field—business.
Seeking a career with growth and opportunity, I pursued International Business at the University of Valencia. My dedication earned me a fully funded scholarship to study at the University of North Carolina Wilmington.
While in the U.S., I gained hands-on experience through two internships with Compass Group, which ultimately led to my current role. Today, I develop financial proformas for company bids, build automation solutions, and drive efficiency using VBA.
This website is a space where I combine my passion for finance and technology. While I specialize in VBA, I built this site to expand my front-end development skills and showcase my work in finance, business, and automation.
Let's connect!
Automate any recurring activity using VBA and advanced Excel formulas.
Objectively analyze and evaluate information, considering different perspectives and potential solutions.
This project focused on analyzing annual greenhouse gas emissions across European Union countries. I utilized two models: a constant slope model and a constant elasticity model.
To test both models, I incorporated several variables. Some of these were later removed based on significance levels to enhance precision.
This was my first R project, and although I ended up finding non-normally distributed errors, it significantly contributed to my proficiency in data analysis and statistics.
In this paper I investigated the impact of long-term inflation and debt on economic growth. Data from the IMF, OECD, and World Bank were analyzed using variables such as Central Government Debt (% of GDP), CPI (annual %), GDP Deflator (annual %), GDP growth (annual %), and GNI growth (annual %).
The statistical correlation analysis proved slight negative correlations between debt and growth and inflation and growth. This project significantly enhanced my data analysis skills by providing hands-on experience.
This VBA project employs Do While and For loops to systematically iterate through files in a selected folder. It uses a "DataLocation" sheet to define data locations, extracting and importing data into the current workbook's "Data" sheet.
The script efficiently closes each file after processing, displaying a completion message when all files are imported. This automation avoids human error and saves more than 200 hours of recurring manual work.
This VBA automation project streamlines the process of handling weekly reports in Microsoft Excel. The VBA script is designed to enhance efficiency by automatically adding consistent formatting to the reports and constructing a dynamic pivot table for insightful analysis.
With the automation of these repetitive tasks, the project significantly reduces the time spent on manual formatting and data organization, allowing users to focus on deriving valuable insights from the weekly data.
