Real Estate Project

Real Estate Project


The goal of this Power BI project was to effectively manage corporate real estate expenses for an international company. The objective was to provide a comprehensive solution that would enable the company to gain insights, optimize costs, and make data-driven decisions regarding their global real estate investments. The primary focus was on streamlining expense tracking, improving cost allocation, and enhancing resource management across multiple locations.

My Work

Throughout the project, I collaborated closely with stakeholders and subject matter experts from various regions to understand the company's unique real estate expense management requirements. I conducted extensive data gathering, consolidation, and integration, bringing together financial records, lease agreements, utility bills, maintenance logs, and other relevant data sources from different countries and currencies.

Using Power BI, I designed and developed a robust and scalable data model that could accommodate the complexity and diversity of the company's real estate portfolio. I implemented data cleansing and transformation techniques to ensure data accuracy and consistency across regions. Additionally, I utilized advanced analytics capabilities within Power BI, such as forecasting models and benchmarking analyses, to identify cost-saving opportunities and optimize resource allocation globally.

To provide stakeholders with a comprehensive view of their real estate expenses, I created interactive dashboards, reports, and visualizations in Power BI. These visualizations allowed users to explore data at both an aggregate and granular level, comparing expenses across locations, analyzing cost drivers, and identifying trends and outliers. I also incorporated geographic mapping capabilities to provide a visual representation of the company's real estate footprint worldwide.


The outcome of this project was a successful, on-time implementation of a comprehensive Power BI solution that revolutionized how the international company managed its corporate real estate expenses. The solution provided a unified view of real estate expenses across multiple regions, allowing stakeholders to make informed decisions and take actions to optimize costs and resource allocation.

With the Power BI implementation, the company gained real-time visibility into their global real estate expenses, enabling them to identify cost-saving opportunities, renegotiate leases, and strategically allocate resources. The interactive dashboards and visualizations empowered stakeholders to drill down into specific regions, properties, or cost components, enabling better decision-making at both local and global levels.

As a result of the project, the company experienced improved financial efficiency, reduced expenses, and enhanced operational performance. The Power BI solution facilitated better collaboration and alignment between different teams and regions, fostering a culture of data-driven decision-making and optimizing the company's real estate investments on a global scale.



Data Analyst


As a highly skilled Data Analyst, I bring a strong background in statistics, data analysis, and data visualization to help organizations make informed business decisions. With experience in both quantitative and qualitative analysis, I have a proven track record of identifying trends, drawing insights, and presenting complex data in a clear and concise manner.

I am proficient in using tools such as SQL, Python, and R for data extraction, cleaning, and manipulation, and have experience working with data visualization tools such as Tableau and Power BI. I have also developed advanced skills in statistical modeling and data mining, allowing me to identify patterns, make predictions, and drive decision-making.

In my previous roles, I have collaborated with cross-functional teams to develop data-driven strategies, and have worked closely with stakeholders to provide insights and recommendations based on data analysis. I am able to effectively communicate complex findings to both technical and non-technical audiences, and have a strong ability to work under tight deadlines and manage multiple projects simultaneously.

In addition to my technical skills, I am a proactive problem solver and a critical thinker, always looking for new ways to extract insights and add value through data analysis. I am committed to ongoing learning and development, keeping up-to-date with the latest tools and techniques in the field.

Overall, I am a results-oriented Data Analyst with a passion for using data to drive business success.


Stay in touch patricia.c@gmail.com
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Address Los Angeles, USA