Property Manager Data Science
Resume:
Cameron Gustafson Marion, OH *****
********@*****.***
Professional Summary
Analytical and detail-oriented professional transitioning into data science with a strong foundation in property management, financial analysis, and strategic planning. Adept at using data-driven insights to optimize operations, improve tenant satisfaction, and drive business growth. Highly skilled in managing budgets, ensuring compliance, and developing innovative solutions. Eager to leverage analytical skills, programming knowledge, and a passion for problem-solving in a data science role.
Willing to relocate: Anywhere
Work Authorization: Authorized to work in the US for any employer
Work Experience
Property Manager
Geller Properties – Marion, OH
July 2024 – Present
Analyzed tenant data and feedback to implement retention strategies, increasing lease renewals and reducing vacancy rates.
Conducted detailed property inspections, compiling data to identify patterns in maintenance needs and safety concerns.
Streamlined contractor coordination and project scheduling using data analysis to ensure timely and cost-effective property improvements.
Developed dashboards to track tenant satisfaction and property performance metrics.
Assistant Property Manager
Olentangy Village Apartments – Columbus, OH
February 2022 – July 2024
Managed 600+ residential units and 12 commercial units, using data to optimize resource allocation and improve occupancy.
Conducted trend analysis on delinquency data, maintaining residential delinquency below $800 and commercial delinquency below $300 monthly.
Partnered with local institutions, leveraging demographic data for targeted marketing campaigns that boosted occupancy rates.
Spearheaded a data-driven approach to move-in coordination, managing the onboarding of 150+ residents during peak periods.
Assistant Property Manager
Heritage Hill Property Management – Columbus, OH
2021 – 2022
Utilized predictive modeling to adjust rental pricing, reducing vacancies by 7-10% monthly.
Designed and implemented property audits, analyzing results to prioritize maintenance and compliance initiatives.
Processed CMHA vouchers and payments, ensuring accuracy and timeliness through data validation techniques.
Created actionable reports on tenant demographics to inform property marketing strategies.
Leasing Consultant
AMC, LLC – Columbus, OH
2020 – 2021
Conducted market surveys to benchmark property performance against local competitors.
Monitored application data, identifying patterns to improve approval processes and meet leasing goals.
Developed property marketing materials informed by analysis of regional trends.
Maintained accurate tenant records, leveraging data to streamline legal and operational processes.
Office Lead
American Signature – Columbus, OH
2018 – 2020
Analyzed sales data to assist associates in achieving challenging targets.
Designed workflows to improve credit application and financing approval processes.
Provided actionable insights to leadership by compiling and analyzing customer feedback and transaction data.
Streamlined regional flagship store operations by leveraging AS400 system data to resolve bottlenecks.
Skills
Data Science Tools & Techniques: Python (NumPy, Pandas, Matplotlib, Scikit-learn), SQL, Excel (advanced), Tableau.
Property Management Expertise: Lease negotiation, tenant retention strategies, inspections, HUD & REAC compliance, YieldStar pricing.
Analytical Skills: Data visualization, trend analysis, predictive modeling, budget management.
Software Proficiency: Yardi, AS400, Microsoft Office Suite, data management tools.
Interpersonal Skills: Communication, customer service, team collaboration, vendor coordination.
Certifications
Fair Housing Compliance Certification
Google Data Analytics Professional Certificate
Certified Apartment Manager (CAM) – [Pending or Completed, if applicable]
Projects
Tenant Retention Dashboard
Created an interactive dashboard using Tableau to track and visualize tenant satisfaction and lease renewal rates, enabling data-driven decision-making.
Predictive Rental Pricing Model
Designed a predictive model in Python to optimize rental pricing based on market trends, reducing vacancies by 10% over three months.
Delinquency Analysis Tool
Developed a Python script to analyze and forecast delinquency trends, enabling proactive intervention and reducing arrears by 15%.
Additional Information
Successfully relocated for career advancement multiple times.
Strong ability to thrive in fast-paced, high-pressure environments.
Open to new challenges in data science and analytics.
Contact this candidate