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Diego García Cervantes - CRE Analyst

Location: Coahuila, Mexico

Compensation range discussed: $1,500 - $2,100

LinkedIn Profile | email: diego9620@gmail.com | Phone: +52 872 778 9520

Schedule Availability (EST): 12:00 PM – 10:00 PM

Earliest date he could join if receiving an offer: As soon as needed

Summary

Real Estate Broker and Sales Professional with 5+ years of outbound sales experience and 3+ years of direct real estate experience, including US market exposure in Miami, Florida. He has held roles at Wolsen Real Estate and Real Brokers, where his core expertise lies in evaluating investment properties using ROI, comparables, and return scenarios to support investor decision-making. His US commercial real estate background includes qualifying buyers, screening distressed commercial assets, and analyzing financial indicators such as After Repair Value (ARV) to generate precise reports for acquisition managers. His analytical skills are applied to developing related materials, such as comparative market analyses, deal-screening summaries, and ROI evaluations. He masters tools such as HubSpot, Salesforce, Follow Up Boss, ChatGPT, and the Microsoft Office suite.

Meet Diego

This video from our screening interview provides a look into Diego's background and experience:

Candidate Snapshot

US Real Estate Experience

• High-Value Transaction Support: Actively sources and evaluates properties within the Miami, Florida market, having successfully supported significant transactions, including a $2.8 million apartment deal.

• Cross-Border Deal Facilitation: Specializes in bridging the gap between US properties and international investors. Successfully advised global buyers—including a client from Spain—seeking specific US commercial opportunities.

• Bilingual Pipeline Management: Serves as the primary contact from discovery through support in the contract stage, efficiently managing communications for both domestic US clients and Spanish-speaking investors.

Commercial Real Estate Expertise

• Distressed Commercial Assets: Identifies and screens distressed commercial properties (e.g., assets facing tax defaults or missed payments) for investors aiming to develop new business infrastructures, such as retail plazas.

• Market Trend Analysis: Monitors neighborhood market dynamics and property performance using platforms such as Zillow and MLS to pinpoint emerging, high-demand areas for commercial investment.

Real Estate Documentation Development

• Interactive Deal Packaging: Integrates MLS presentations with 360-degree virtual tours into initial deal packages, ensuring prospective buyers receive a structured, accurate visualization of the asset.

• AI-Assisted Asset Marketing: Utilizes ChatGPT to structure raw property data into attractive, reader-friendly summaries for emails and texts, supporting the deal's storytelling.

Education

• Bachelor’s Degree in Economics | Universidad Nacional Autónoma de México (In Progress - Online)

Tools & Technologies

• Design & Presentation: Microsoft PowerPoint (Advanced, 8+ years), Canva (Intermediate).
• Data & Financial Tracking: Microsoft Excel (Advanced, 8+ years).
• General Operations: Microsoft Teams, Jira (Basic), Microsoft Word (Advanced, 8+ years).

Key Qualifications & Highlights

• Proactive Workflow Optimization & CRM Cleanup: Identified a critical operational gap where LATAM buyers were being neglected due to their reluctance to answer US phone numbers. Independently launched a targeted WhatsApp outreach strategy, which successfully revived unengaged leads and effectively cleaned the CRM by filtering out unqualified prospects.

• High-Volume B2B Pipeline Management: Demonstrated exceptional operational capacity in fast-paced environments as a Cold Caller (2024), consistently executing 400–500 outbound B2B calls daily. Met strict lead qualification and appointment-setting KPIs, highlighting a robust foundation in structured discovery and pipeline generation.

• AI-Driven Data Structuring: Actively creates prompts in ChatGPT to optimize real estate marketing and client relations. Transforms raw property data into structured, highly readable summaries, ensuring complex financial and real estate information is visually appealing and easily digestible for investors.

• Mathematical & Analytical Foundation: Leverages ongoing academic training in Economics to interpret complex market trends and process raw financial data. This background provides a strong advantage in evaluating distressed assets, After Repair Value (ARV), understanding investment potential, and structuring accurate return scenarios for commercial buyers.

Screening Interview - Key observations

• Current Availability & Tech Proficiency: He recently resigned from his position at Wolsen Real Estate and returned from vacation, making him immediately available to join a new team without any competing interview processes. Additionally, he detailed having over 10 years of direct experience utilizing the Microsoft Office Suite (specifically Word, PowerPoint, Excel, and Teams).

• Task Preferences & Strengths: He feels most comfortable serving as the primary point of contact to gather raw property metrics and market indicators. He thrives when conducting active market research and using platforms like Zillow to identify neighborhood trends and sudden shifts in demand for commercial investment opportunities.

• Areas for Improvement: He explicitly noted a lack of hands-on experience in building final offering materials from scratch. He successfully reviews property data and MLS presentations and even though he does know them, drafting formal Broker Opinion of Values (BOVs) and Offering Memorandums (OMs) from scratch was historically delegated to other team members, identifying final commercial deliverable creation as his least familiar task.

• Client-Centric Communication & Proactivity: Demonstrated a focus on process improvement and client experience, mentioning that he took the initiative to optimize information delivery by standardizing ChatGPT prompts to convert overwhelming, dense real estate data into attractive, highly readable formats for investors.

• Relationship Management: Showcased a strong capacity for client retention and trust-building, noting that his initial discovery calls established such solid rapport that clients preferred his continued involvement throughout the entire transaction process, even after transferring the formal documentation tasks to the acquisition team.