Financial Analysis Project - Airbnb
Conducted a comprehensive financial analysis of Airbnb Inc. by preparing common-size income statements and balance sheets (2020–2022) to standardize financial data for comparison. Performed ratio analysis across profitability, efficiency, leverage, liquidity, and market metrics, highlighting trends in gross margins, return on assets, asset turnover, debt-to-equity, and cash ratios. The study evaluated Airbnb’s recovery post-COVID, identified strengths such as improving profitability and efficiency, and highlighted risks including high volatility, regulatory pressures, and debt levels. Concluded with investment insights on short-term opportunities versus long-term risk exposure.
Green Finance Project
Developed a comprehensive business plan for a solar canopy project in Marseille, integrating technical feasibility, financial modeling, and sustainability analysis. Conducted a SWOT assessment to evaluate market potential, risks, and long-term viability. Prepared detailed investment breakdowns, cash flow projections (2024–2035), and ROI/IRR calculations to assess profitability. Designed a deployment roadmap covering research, stakeholder approvals, installation, and maintenance phases, while accounting for risks such as weather, regulatory changes, and material delivery delays. The project emphasized alignment with France’s renewable energy targets, tenant satisfaction, and carbon footprint reduction. S
Management Control Project
Conducted a management control study at ASAM through an in-depth manager interview. Identified the company’s key cost centers (HR, IT, Admin) and profit centers (sales, marketing), analyzing how each contributes to operational efficiency and profitability. Assessed the management control tools in place, including BOQ systems for budget allocation, ISO systems for monitoring, Excel for data analysis and reporting, and Primavera for project scheduling. Highlighted recent evolutions such as adoption of digital tools, cloud-based platforms, data analytics, and sustainable building materials. The project provided practical insights into how management control supports both cost regulation and revenue growth in a real-world enterprise.
Power BI - Sentimental Analysis and Visualization (Personal Project)
Collected 900+ reviews using Parsehub, then cleaned and transformed the dataset in Power BI. Built sentiment analysis to measure customer perception (77% positive) and created dashboards showing review trends, language split, user activity, and key themes through a word cloud. This project demonstrates my ability to handle data scraping, preparation, analysis, and visualization to deliver clear business insights.