• Conducted comprehensive due diligence for leading data center operators and major investment fund clients, collaborating closely with senior stakeholders to deliver critical insights on market dynamics, competitor strategies, and technical infrastructure• Led in-depth market analyses in countries such as Brazil, Mexico, Chile, and Colombia, providing strategic recommendations based on hyperscale demand, supply trends, and competitive positioning to C-suite executives and investment committees• Evaluated sophisticated business plans, including revenue projections, capex and opex forecasts, etc.• Analyzed key competitors' strategies and market dynamics, formulating actionable insights and deployment plans extending to 2033, significantly influencing strategic client decisions• Developed strategic deployment recommendations, identifying lucrative growth opportunities and market penetration strategies, especially targeting hyperscaler and wholesale clientele• Constructed a bottom-up forecast of data center capacity demand and absorption, driven by increasing cloud adoption, digitalization, and AI computing requirements• Produced high-impact reports and presentations, enabling clients to validate technical data, accurately estimate performance metrics, and compellingly present strategic deliverables to potential investors and board members, driving successful investment outcomes• Provided detailed technical assessments of data centers, including facilities, power, connectivity, electrical infrastructure, cooling, fire protection, BMS, and security, and presented findings to senior management

• Promoted to the central modeler position for the Accounting Separation project of a major international client in the Technology, Media, and Telecommunications (TMT) sector, demonstrating exceptional modeling skills and domain knowledge• Led the construction, development, and refinement of complex and dynamic financial models, ensuring accurate representation of the client's business units and financial performance in alignment with regulatory requirements• Presented complex financial models, findings, and recommendations to senior management and key stakeholders, effectively communicating insights and influencing decision-making processes• Mentored and guided junior team members, fostering their professional growth and knowledge in modeling and accounting separation practices within the TMT sector• Developed innovative approaches to identify and resolve complex issues and challenges during the Accounting Separation project, proactively recommending mitigation strategies to ensure project success• Conducted rigorous data analysis and reconciliation to identify potential discrepancies, validate financial information, and ensure data integrity and accuracy throughout the Accounting Separation process• Led cross-functional teams in streamlining processes, enhancing efficiency, and improving the overall quality of deliverables, resulting in increased productivity and client satisfaction

• Was chosen as the auxiliary modeler in an Accounting Separation project for a major international client in the Technology, Media, and Telecommunications (TMT) sector• Collaborated closely with senior consultants and subject matter experts to understand the client's complex financial structure and data requirements for the Accounting Separations• Utilized advanced modelling techniques to create detailed financial models that accurately represented the client's business units and financial performance• Played a key role in identifying risks, issues, and challenges during the Accounting Separations projects, providing valuable insights and recommendations to mitigate them effectively• Collaborated with cross-functional teams to streamline processes, enhance efficiency, and improve the overall quality of deliverables during the Accounting Separations projects• Assisted in developing and implementing data extraction, transformation, and loading processes to ensure accurate and timely data acquisition from various systems and sources• Conducted extensive data analysis to identify and reconcile discrepancies, ensuring the integrity and accuracy of financial data used in the Accounting Separations process