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Hitesh Pulani - Senior CRE Analyst

Location: Gurgaon, Haryana, India

Compensation range discussed: $1,500 - $2,300

LinkedIn Profile | email: hiteshpulani@gmail.com | Phone: +91 8818053676

Schedule Availability (EST): 9:00 PM – 7:00 AM (Ideally, he’d like to work 11/11:30 pm - 9/9:30 am EST, if possible.)

Earliest date the candidate can join the company: 2 months' notice period with his current employer.

Summary

Financial Analyst (Investment Modeling) with 4+ years of experience in Commercial Real Estate, focused entirely on the US market. Currently a Senior Analyst at JLL, he previously worked at Cushman & Wakefield, supporting US-based Capital Markets and Valuation teams. His core expertise includes financial modeling (Argus Enterprise, Rockport VAL), lease abstraction, and due diligence for Multifamily, Office, and Retail assets valued at $10M to $3B. He has underwritten deals across all US states, with a specific modeling focus on New York. Beyond analysis, he produces Asset Summary Reports and technical write-ups, utilizing PowerPoint and Canva for presentations. He leverages CoStar, REIS, and AI tools to optimize workflows and has proactively developed standardized templates to streamline complex deal processing.

Meet Hitesh

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

Candidate Snapshot

US-based Real Estate Experience

• 4+ Years of Direct US Market Support (CRE): Dedicates his entire professional career to supporting US-based Capital Markets and Valuation teams. Currently serves as a Senior Analyst at JLL and previously worked at Cushman & Wakefield.

• High-Volume Deal Exposure: supports underwriting deals across all US states, with a specific Argus modeling focus on the New York market. Experience covers Multifamily, Office, and Retail assets valued from $10M to $3B.

• Institutional Workflows: Deeply integrated into US corporate workflows, handling lease abstraction and due diligence for institutional-grade assets.

Real Estate Documentation Development

• Presentation & Design: He has used Canva and PowerPoint to create client-facing materials.

• Report Generation: Produces Asset Summary Reports and technical write-ups used for deal presentation and stakeholder review.

Commercial Real Estate Expertise

• Advanced Financial Modeling: Core expertise includes building and managing financial models using Argus Enterprise and Rockport VAL.

• Market Data Analysis: Leverages industry-standard data platforms, including CoStar and REIS, to substantiate assumptions and underwriting metrics.

Education

• Post Graduate Program in Management - Finance | ICFAI Business School (2022)

• Bachelor of Commerce - Account & Finance | University of Delhi (2019)

Certifications

• Index Creation Certification Program | Indexx Business Valuation | IBS

• Technical Analysis | Zerodha

Tools used

• Argus Enterprise (Advanced, 4+ years),
• Rockport VAL (Intermediate, 3 years),
• REIS, Costar (Intermediate, 2 years)
• Excel (Intermediate)
• Canva (Basic)

Key Qualifications & Highlights

• Proficiency in Finance & Familiarity with Presentation Design: He combines hard skills in Argus Enterprise modeling with experience creating presentations using Canva and PowerPoint.

• Process Optimization & AI Integration: Proactively identifies workflow inefficiencies and develops standardized templates to streamline deal processing. He actively leverages AI tools to enhance output speed and accuracy.

• Institutional-Grade Valuation Experience: Brings experience handling high-value assets (up to $3B), ensuring familiarity with the rigor, detail, and data integrity required by top-tier US investment firms.

• Specialized US Geographic Focus: possesses in-depth knowledge of the New York market, along with broad exposure across all US states, minimizing the learning curve for US geography and market nuances.

Screening Interview - Key observations

• Workflow Optimization & Proactivity: He demonstrated a strong drive for process improvement, developing a "workflow tree" and standardizing templates to manage the complexity of daily requirements and reduce time spent on repetitive tasks involving similar source documents.

• Specialized Multifamily Expertise: Beyond general multifamily experience, he has specialized in handling niche asset classes, including Targeted Affordable Housing, Senior Housing, and Student Housing. His role involved deep-dive due diligence, where he identified errors in third-party reports (appraisal, engineering, and environmental).

• AI Integration & Adaptability: He actively uses both public tools, such as ChatGPT, and proprietary internal tools (JLL GPT) in his daily workflows. He specifically uses these for drafting emails and generating summaries of lengthy lease documents, indicating a practical, hands-on approach to AI adoption.

• Operational Focus: He clarified that his experience is strictly "back-end assistance," supporting US-based teams who manage the direct client and broker relationships. This aligns with his strength in technical execution—auditing documents, modeling, and preparing reports—rather than front-facing commercial negotiation.

• Availability & Schedule: He confirmed he is not currently interviewing with other companies, positioning himself as a dedicated candidate. He is aware of and aligned with the 9:00 PM – 7:00 AM EST schedule.