Victoria Esther

Financial and Data Analyst

About Me

Specializing in Financial Modeling and Data Visualization

Naturally inquisitive in data and financial analysis, with a strong record of driving process improvement and business growth through analytical insights. Proficient in Excel, SQL, financial modeling, and Tableau, skilled at uncovering actionable insights from complex datasets and visualizing trends to support strategic decision-making. Leverages a background in business management to drive innovation and efficiency across all facets of an organization.

Skills

It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference. 

Soft Skills: Strategic Thinking, Problem-Solving, Collaboration

Languages: English, French, German

Projects

  • Netflix user analysis and revenue growth

    Conducted SQL-based analysis on 100k user records to identify revenue trends by subscription, type, region uncovering that premium plans.

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  • Mastercard and Visa analysis and optimisation

    Conduct an analysis of the stock price trends of MasterCard and Visa over the last 16 years, identify key performance metrics, and provide actionable insights for investment strategies.

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Education & Certifications

ICHEC - Bachelor of business management

2023 - Present

Relevant coursework: Microeconomics, macroeconomics, Accounting, Finance, Python, Management

  • Gained a solid foundation in business principles, financial analysis, and economic theory with hands-on experience in data analysis and strategic decision-making

HARVARD - Data Science professional certificate

2024–2025

Professional Certificate in Data Science to gain expertise in R programming, data visualization, and data wrangling.

  • Building a foundation in statistical modeling, probability, and machine learning through real-world case studies including analyses of financial crises and health trends.

  • Developing proficiency in essential tools for data science, such as Unix/Linux, GitHub and RStudio for reproducibility in data flow