Hey, I'm
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.
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 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.
Senior Analytics Engineer
Leading cross-company analytics initiatives, developing advanced models for real estate investment and debt strategies across Pretium's portfolio companies.
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.
Competitive Intelligence
Managed competitive intelligence data collection on a $10M+ contract. Drove major cost reductions by transitioning from manual to tech-driven data collection.
Data Analyst
Developed insights and analytics for CPG and retail optimization.
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.
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.
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.
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.
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.
I bridge the gap between technical execution and strategic vision. Whether architecting data systems, building applications, or leading cross-functional initiatives, I drive performance improvements through technology and data strategy.
Designing and implementing enterprise data warehouses, building dimensional models, and creating self-service analytics ecosystems that drive decision-making.
Building modern web applications from concept to production. Creating custom dashboards, internal tools, and client-facing products with seamless API integrations.
Deploying and managing cloud-native applications and data pipelines. Building serverless architectures and automating infrastructure for scale.
Integrating generative AI into production applications with RAG architectures. Building predictive models and leveraging LLMs to enhance workflows and products.
Continuously learning and adapting to emerging technologies
The majority of analytics teams operate in the lower layers of the analytics stack. Here's how to break through to where analytics actually drives the business.
There's a massive gap between what analytics teams could be doing and what most are actually doing. I'm starting this blog to help bridge that divide.
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Prefer email? spencer.m.dobbs@gmail.com