Hey, I'm

Spencer Dobbs

Senior Analytics Engineer

Currently at Pretium Capital Markets

I build data systems that power investment decisions across a multi-billion dollar real estate portfolio. From predictive models to executive dashboards, I bridge the gap between raw data and strategic insights.

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About

I'm a Senior Analytics Engineer at Pretium Capital Markets, where I build the analytical infrastructure that powers investment decisions across a multi-billion dollar real estate portfolio.

My work sits at the intersection of data engineering, analytics, and strategic thinking. I don't just build pipelines—I architect solutions that directly influence C-suite decisions on asset acquisition, disposition, and operational optimization.

With nearly 4 years at Progress Residential and now expanding my impact across Pretium's portfolio companies, I've developed a deep expertise in real estate analytics, predictive modeling, and translating complex data into actionable insights.

Pretium Capital Markets

2024 - Present

Senior Analytics Engineer

Leading cross-company analytics initiatives, developing advanced models for real estate investment and debt strategies across Pretium's portfolio companies.

Progress Residential

2021 - 2024

Analytics Engineer → Senior Analytics Engineer

Spearheaded pivotal projects including Asset 360, an end-to-end asset model tracking property DNA, appliances, and operational data to forecast performance and guide investment decisions.

Walmart

Previous

Competitive Intelligence

Managed competitive intelligence data collection on a $10M+ contract. Drove major cost reductions by transitioning from manual to tech-driven data collection.

Acosta

Previous

Data Analyst

Developed insights and analytics for CPG and retail optimization.

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Featured Projects

End-to-End Asset Modeling

Asset Management 360

Developing a comprehensive asset model to understand the records, quality, and performance of assets across our real estate portfolio. This system will automate asset management decisions and streamline operational workflows, transforming how we manage property assets at scale.

ReactPalantir FoundryData PipelinesPython
Impact
Automating asset decisions across 80K+ properties
IoT & Predictive Analytics

Trespasser Prediction

Built a custom algorithm leveraging IoT device data to predict properties with trespassers in vacant homes. This accelerated removal processes and enabled arrests before fake leases could be generated—a critical initiative addressing a multi-million dollar annual problem.

PythonSQLIoT APIsSalesforce
Impact
50%+ accuracy · Millions in annual savings
Predictive Maintenance

HVAC Failure Prediction

Engineered a custom algorithm using thermostat data APIs to predict underperforming HVAC devices before failure. Enables preventative maintenance that saves significant costs per avoided emergency repair.

PythonThermostat APIsMachine Learning
Impact
90%+ accuracy · ~$1,000 saved per alert
Data Infrastructure

Collections Data Mart

Complete overhaul of the company's collections data structure, building an end-to-end data mart that unlocked advanced collection insights and early warning systems for at-risk accounts.

SQLSnowflakeData Modelingdbt
Impact
Enabling proactive collections strategy
Data OperationsWalmart

Competitive Intelligence Platform

Managed competitive intelligence data collection operations on a contract valued at over $10M. Drove significant cost reductions by transitioning from manual efforts to automated tech-driven data collection solutions.

Data CollectionProcess AutomationVendor Management
Impact
$10M+ contract · Major cost reduction
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Skills & Expertise

Languages & Frameworks

Python95%
SQL95%
React85%
TypeScript80%

Data & Cloud

Snowflake95%
dbt90%
Airflow85%
AWS80%

AI & Analytics

Gen AI / LLMs90%
Machine Learning85%
Data Modeling95%
Visualization90%
SnowflakePythonReactNext.jsSQLdbtAirflowTableauGitDockerAWSOpenAIPandasScikit-learnPostgreSQLRedisSnowflakePythonReactNext.jsSQLdbtAirflowTableauGitDockerAWSOpenAIPandasScikit-learnPostgreSQLRedis