Marco Å. Ojeda

BI Norwegian Business School
Undergraduate Student Finance BSC

Inquiry: [email protected]

GitHub: https://github.com/Mojeda01

Personal Site: http://marco-oj.no/

Labor Competency

Financial modeling: My understanding in financial modeling, specifically tailored towards corporate valuation and forecasting. This skill is demonstrated through ability to correctly calculate WACC, which serves as an important concept for assessing investment opportunities and determining the financial viability of projects. I apply DCF analysis to model future share prices, incorporating these projections within pro forma financial statements. This approach enables a holistic view of a corporation's financial health and future prospects, aiding in strategic decision-making an investment analysis. My skills ensure a detailed, quantitative approach to financial modeling with precision with strategy as a guide to corporate valuation and forecasting endeavors.Some important tools used for financial modeling: Excel, R

Programming: My programming experience, particularly with Python, encompasses a comprehensive understanding of the language, coupled with a pratical approach to project organization and architecture. This foundation allows me to excel structuring projects effectively, connecting various modules, and building out applications.My proficiency in programming to a solid foundational understanding of C++, albeit with a scope of expertise more focused compared to my Python skills. Despite this limitation, my grasp of C++ fundamentals is strong, providing me with the ability to navigate the language's complexities and utilize its capabilities to solve problems effectively. This foundational knowledge of C++ allows me to understand and apply core programming concepts, from object-oriented programming.In addition to my skills in Python and C++, I possess competency in R, particularly data handling and statistical learning methods. I have the ability to manipulate and analyze complex datasets. This skill enables me to apply statistical learning methods to derive insights, through ML estimators, including linear regressions, multiple linear regressions, neural networks, logistic regression, and multinomial logistic regression.While my programming skill set is primarily anchored in C++, Python and R, I also have a basic yet foundational understanding of C. Although my proficiency in C is more limited, I possess the essential skills required to organize and develop smaller-scale projects. This includes a fundamental grasp of project structure, the ability to connect different components within a project, and a clear understanding of building and compiling simple C programs.Version Control: I also bring a understanding of version control, particularly through my use of Git and Github. I am capable of performing essential commands such as commits, branches, merges, and pull requests.LaTeX: My familiarity with LaTeX allows me to craft complex documents, precisely format mathematical expressions and scientific notations, ensuring high-quality, professional outputs. The versatility and control offered by LaTeX have enabled me to produce documents that meet exacting standards of academic and professional presentation. This skill emphasizes my ability to convey complex information in a structured and visually appealing manner.

Full Resume: https://github.com/Mojeda01/Job-Resume/blob/main/Curriculum-Vitae.pdf