Jacob Hess Email and Phone Number

Spearheaded the implementation of an enterprise data warehouse solution, integrating CRM systems with Snowflake to create a unified data platform. Managed data security protocols and real-time reporting capabilities for 110,000+ constituent records, serving a 50-person development team with enhanced analytics tools.Created and maintained comprehensive business intelligence solutions using Power BI and SQL, transforming raw data into actionable insights. Developed automated reporting workflows that significantly reduced manual processing time and improved data accessibility across the organization.Developed advanced time series forecasting system using seasonal ARIMA (Autoregressive Integrated Moving Average) methodology to analyze revenue patterns. Implemented innovative disaggregated approach to track distinct revenue streams, enabling leadership to make data-driven decisions with granular financial insights.Built scalable machine learning pipeline in Python that automates feature engineering processes, successfully integrating diverse data sources including institutional databases and US Census Bureau demographic data. Engineered and maintained 190+ predictive features for advanced donor analytics, significantly enhancing our predictive modeling capabilities.Innovated donor engagement tracking through development of real-time "Freshness Index" scoring algorithm. Created sophisticated scoring system processing high-frequency engagement signals to dynamically assess prospect relationships, revolutionizing how development officers prioritize and optimize their outreach strategies.Led development of machine learning-based donor classification system using logistic regression techniques. Leveraged automated feature engineering pipeline to process complex donor behavior patterns, improving prospect identification accuracy and enabling more targeted fundraising approaches.

Founded and operate independent financial analysis platform providing macro-economic insights and market commentary, demonstrating expertise in financial markets and data-driven researchEngineered automated news aggregation and analysis system serving as data provider for investment applications, leveraging Python and API integrations for real-time market intelligencePublish multiple articles on Seeking Alpha analyzing individual securities and market trends, building credibility in financial analysis and investment research

Designed and implemented comprehensive prospect scoring model analyzing over 2,000 potential donors for ambitious $250 million fundraising campaign. Created data-driven methodology to identify and prioritize high-potential prospects, enabling strategic allocation of development resources and targeted outreach strategies.Built dynamic reporting dashboards and automated data collection processes that transformed raw donor data into actionable insights using Python and Tableau, empowering development officers with real-time access to crucial prospect information and engagement metrics.

Developed Java-based web scraping script collecting data for an academic paper on marketing and birth rates. High-level data hygiene of over 100,000 county level birth data points.

Performed high-level database management for corporate entities and portfolios. Targeted potential corporate prospects for engagement based on key financial indicators.