Do you need help with your data stack? Or are you a data company and need help with your product or user engagement? Leveraging my diverse and deep background, I'm here to help with your unique business needs. I pride myself on understanding the intricacies of your business domain and delivering the bespoke solution that you need today and establishes a foundation for future success. Whether you need actionable analytics, scalable data engineering, efficient business intelligence, effective data product management, practical technical documentation, or strategic content marketing – I am here to provide end-to-end support.

Candidate Labs is a search firm built as a technology company.We’re reimagining what’s possible in the recruiting industry—reinventing the hiring process from start to finish to create a radically better experience for candidates, employers, and recruiters.Founded by repeat entrepreneurs, our team looks like the companies we serve, combining software developers, PhDs, and talent professionals.By utilizing technology for scale and repeatability alongside our seasoned search team, we connect venture-backed companies with the right hires at the right time while helping candidates accelerate their careers and create long-term success.We’ve raised $5M+ in funding and are backed by top VCs including SignalFire, Fuel Capital, FJ Labs, Box Group, and dozens of talent leaders, revenue leaders, and founders.

• Developed a source of truth metrics framework for key business and product metrics, and drove adoption to >1000 metrics across >30 teams within 3 months of launch.• Drove development of an industry-first method of data capture from production services, upleveling data quality and reducing the need for data pipeline code by 2/3.• Created standard tracking procedures and drove development of libraries to allow understanding of traffic to and performance of all pages across the web and native apps.• Established the Data Engineering Infrastructure team and charter to build cutting edge tools that allow engineers to focus on the fun parts of building data and automate the redundant parts.

• Analyzed user behavior (ex: funnel analysis, NLP) to recommend new features, developed key product metrics to measure success, and designed and analyzed experiments to test new features to help users keep in touch with their connections.• Spearheaded projects to improve collaboration and reproducibility through data science tools.

• Developed technology stack that increases biochemical assay throughput >1,000,000x by hacking genome sequencers and drove 3 applications; published in Nature Biotech & PNAS.• Full stack: worked on hardware, software, biochemistry, data processing, and data analysis.

• Determined which features of a product page on startup Tindie.com’s platform were predictive of whether a product sells and made recommendations to sellers.• Demonstrated with sales data that the backorder feature has a low return on investment, leading Tindie to remove the feature from the site.