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Lui Martinez - Senior CRE Analyst

Location: Curitiba, Paraná, Brazil Compensation range discussed: $1,900 - $2,300 LinkedIn Profile | Email: luimlask@gmail.com | Phone: +55 41 98789-2203

Summary

Business Analyst and qualified Lawyer with 5 years of experience in the US commercial real estate sector at CBRE, managing lease abstraction and quality control for major US-based clients with extensive portfolios (up to 10,000 locations). Has expertise in automating workflows using Python, Power BI, and Alteryx. Served as a dedicated tech tester for internal AI models implementations, ensuring data quality standards were met during the rollout of automated document processing tools, and led the change management for teams adopting these technologies. He has significant experience abstracting and validating complex legal data from platforms like CoStar and Visual Lease, and also possesses design skills in Canva and CorelDRAW for creating graphical training materials. Proficient in Python and SQL, he automates complex data extraction tasks and builds dynamic dashboards in Power BI to track timing and accuracy KPIs.


Candidate Snapshot

US-based Commercial Real Estate Experience:

Total Experience: 5 years of dedicated experience working exclusively within the US commercial real estate industry at CBRE.

Portfolio Scale: Managed data extraction and quality control for diverse US portfolios ranging from small local holdings to global accounts with tens of thousands of leases.

Sector Focus: 100% Commercial/Corporate real estate, focusing on lease abstraction, quality control, and vendor management.

Direct US Interaction: Maintained consistent professional communication with CBRE correspondents in the USA  for portfolio administration and database governance.

Internal Audit Role: As a Data Analyst, he spearheaded central quality control, management, and training, leading internal meticulous audits to resolve data discrepancies and ensure 100% database integrity for US clients.

Core Expertise: Data Intelligence & Automation:

Systems Optimization & Automation: Developed custom automation scripts using Python and SQL to replace manual data entry, significantly accelerating turnaround times for high-volume requests.

Business Intelligence: Expert in deploying interactive dashboards using Power BI, Tableau, and Excel to visualize complex real estate KPIs and financial forecasting.

AI Implementation & Tech Testing: 

AI Quality Control: He was a technical tester for proprietary internal AI tools, analyzing model test results to refine the accuracy of automated lease extraction.

Change Management: Spearheaded system transition efforts, managing user requirements and helping teams adopt new technologies to elevate operational output.

Design & Marketing Materials:

Visual Communication: Advanced proficiency in Canva, CorelDraw, and PowerPoint to create professional corporate presentations and brand-compliant graphical materials.

Creative & UI/UX Expertise: Extensive experience developing marketing and graphical materials following strict brand guidelines, with specialized knowledge in design principles and UI/UX.

Education:

→ Postgraduate Diploma in International Relations, Geopolitics, and Defense | Federal University of Rio Grande do Sul, Brazil (2023)

Bachelor’s Degree in Law (LLB) | Universidade Federal do Paraná (2020)

Open-Source Intelligence (OSINT) Qualification | Basel Institute on Governance

Tools Used:

Real Estate Systems: Sequentra, CoStar, Visual Lease, HarborFlex, Apex, Salesforce, and ServiceNow.

Data & Analysis: Python (5 years), SQL, Power BI (Advanced), Excel (Advanced), Tableau, and Alteryx.

Design & Office: Canva (Advanced), CorelDraw, PowerPoint, and Google Workspace.

Languages:

English: Fluent (C2 - Professional use at CBRE)

Portuguese: Native

→ Spanish: Proficient

French: Intermediate

German: Basic


Meet Lui

This video from our screening interview provides a look into Lui's background and experience.

Key Qualifications & Highlights 

Architect of "Single Source of Truth" system at CBRE: 

Designed and implemented a centralized KPI tracking system at CBRE that unified timing and accuracy metrics for hundreds of analysts. This "Single Source of Truth" remains the standard operating process for his department

US Commercial Market Domain:

Offers 5 years of exclusive focus on the US commercial real estate industry, providing deep knowledge of B2B lease lifecycles, portfolio management, and corporate data requirements. 

Meticulous Analysis Standards:

Applies a rigorous academic research methodology to commercial real estate, maintaining high KPIs (90%+) for data accuracy and reporting precision.

Predictive Financial Modeling:

Developed custom financial forecasting tools using advanced data analysis to project expected billing amounts and revenue up to two years into the future. 

Automated Workflow Ownership:

Proactively reduced turnaround times for high-volume document requests from several weeks to just one week by implementing custom Python scripts and managing rapid-response teams. 

Systems Optimization:

Proactively audits legacy data pipelines to identify performance bottlenecks in third-party software like Alteryx; migrates complex workflows to custom Python solutions to reduce operational overhead and enhance process transparency.


Screening Interview - Key Observations

Meticulous Standards (Data Precision): Attributes a high precision standard (90%+) to his legal and academic background. Proactively rebuilt data systems at CBRE to ensure a "single source of truth" and long-term integrity for complex US portfolios.

Role Alignment: He is specifically motivated by AI-native environments to enact systemic change and lead technology adoption. Prioritizes the automation of repetitive manual processes over doing it manually, independently replacing legacy workflows with custom Python tools to drive operational efficiency.

Strategic Bridge (US Market Maturity): Acts as a professional "translator" between technical, legal, and business stakeholders. 

CRE Material Readiness: Understands the structure of BOVs and OMs and has experience extracting relevant information from the BOVs as needed. While not yet a creator of these specific assets, has experience developing graphic materials for clients, UI/UX design, and graphically-rich communication documentation.