real estate data analysis / reporting and QA
Jace Gan
ghilliannejace.gan@gmail.com
Real Estate Data Analyst·comp sheets, blended pricing, QA reporting
I turn raw property records into reports a reviewer can trust. Every number traces back to
a real comp or a specific check, never a black box.
Available now
·Philippines based, works US hours
·full time or contract
27person team managed
2,000+engagements analyzed / yr
48events coordinated / yr
40%lift in attendance retention
01 about
Every report is only as good as the data behind it. For the past two years I've run the data and
financial side of a 50+ person events operation, and I'm now applying that same discipline to real
estate: pulling comparables, building pricing models, and running QA before anything ships.
Detail obsessed
Duplicate records, outlier comps, and blank fields get caught before they reach a report.
I show my work
Every price traces back to a specific comp or a blended source, never a black box.
Spreadsheet fluent
Trackers, pricing models, and QA all built with formulas I can explain line by line.
Reliable under volume
I run live reporting and reconciliation for 48+ events a year without missing a deadline.
02 pricing process
raw property data in, priced offer out
01
Pull the data
Source sold and listed property data from Zillow, Redfin, and county-level sources into structured sheets.
02
Organize and clean
Filter records, group by acreage, and flag outliers before anything reaches a pricing view.
03
Build comparative pricing
Model market comps, blended valuation, and discount pricing for each parcel.
04
QA and finalize
Run accuracy checks on the data and pricing before a report goes out.
03 real estate data examples
Battle Creek, MI · real sold comps (Redfin)
Land Comp Sheet
Real sold vacant-land comps pulled from Redfin. Grouped by acreage band for benchmark pricing.
RedfinGoogle SheetsAcreage banding
Same real comps · blended pricing
Blended Pricing Sheet
Band PPA to market value, a roughness discount, then a conservative offer.
Blended valuationDiscount modeling
Illustrative log
Data QA Checklist
Checks I run before a dataset or report is finalized.
Data QAAccuracy checks
Operations reporting
Parallel Dimensions · production work
Event Ops & Payout Reporting
27person team managed
2,000+engagements / yr
48events / yr
40%retention lift
Automated Google Sheets trackers and dashboards centralizing event data, team assignments, and
payout records for real-time reporting, plus the financial side every cycle: salary computation,
payout reconciliation, and budget tracking.
Google SheetsFinancial reconciliationLive reporting
04 experience
Hosting Director — Operations & Data Analytics
Parallel Dimensions, Marketing Agency (Nightlife Events Division)
Sep 2023 to present
- Analyze event and promoter performance data to guide data-driven planning, contributing to a 40% lift in attendance retention.
- Build and maintain automated Google Sheets trackers and dashboards centralizing event data, team assignments, and payout records.
- Handle financial operations every event cycle: salary computation, payout reconciliation, budget tracking.
- Manage a 27-person team coordinating 50+ promoters per event, 2,000+ engagements analyzed annually.
- Oversee 4 monthly events (48+ annually) end to end: assignments, venue logistics, on-ground execution.
Land & Property Data Analysis
Independent Training, Hands-On Mentored
2026
- Practiced end-to-end land parcel data analysis: pulling, filtering, and organizing property datasets from Zillow and Redfin via Google Sheets pipelines.
- Built comparative pricing analyses (market comps, blended valuation, discount modeling) and ran data QA checks before finalizing reports.
05 education
BS Industrial Engineering
Mapua Malayan Colleges of Laguna
Aug 2025 to present
- Developing skills in systems optimization, operations management, and data-driven decision making.
BS Chemical Engineering
University of Santo Tomas
Jun 2022 to Sep 2024
- Built a foundation in analytical thinking, problem solving, and technical processes through engineering coursework.
06 data and reporting toolkit
Daily
Google SheetsZillowRedfinGoogle Workspace
Domain
Comp analysisBlended pricingFinancial reconciliation
Data cleaning and QAEvent operations
Google SheetsAutomated trackers and dashboards centralizing event data, team assignments, and payout records for a 50+ person operation.
Comp analysisSold comps grouped by acreage band and benchmark priced conservatively, sourced from real Redfin data.
Data QADuplicate, outlier, and malformed-field checks run before a dataset or report is finalized.
ReconciliationPayout and budget reconciliation every event cycle, across 48+ events a year.