Mike H.

◦ Data Science: Worked with traders and management to identify domain specific strengths and weaknesses of various advanced ML modeling techniques, allowing for effective prioritization of new strategy development ◦ Quantitative Development: Built from 0→1 the firm’s first end-to-end quantitative short-term power futures trading and research platform ◦ FTR Trading Support: Upgraded and optimized supporting infrastructure for financial transmission rights trading strategies, applying network analysis, deep grid-security knowledge, development best practices, and machine learning, vastly speeding up and hardening the firm’s FTR trading infrastructure

A media measurement software company offering powerful audience segmentation for programmatic ads in a more valuable data-driven ecosystem.

• Led cross-functional teams to translate ambiguous executive asks into actionable ML/data science solutions, conceptualizing and launching a significant out-of-home measurement solution that expanded engagement with top partners.
• Integrated Large Language Models into the top 3 data science workflows and revamped digital exposure measurement methodology, significantly enhancing the platform's analytical capabilities.
• Designed, built, and launched a personification solution in Apache Spark on Databricks that unlocked tens of millions of dollars of Annual Recurring Revenue (ARR), greatly impacting the company's financial performance.
• Developed and integrated a set transformer based model in PyTorch, drastically improving performance and optimizing measurement on datasets exceeding 10 billion rows, which was essential for scaling the company's data processing capabilities.

Google is a technology company that specializes in Internet-related services and products, which include online advertising technologies, search engine, cloud computing, software, and hardware.

• Developed statistical methodology for Google's online-to-offline ad impact causal measurement product, including interactive visualizations to assess model quality.
• Led and delivered analyses directing major Google product decisions and launches, collaborating closely with product, engineering, and data vendors.
• Co-led the development of Google’s Just Cause Python causal inference package, contributing to TensorFlow and CoLaboratory open-source projects.
• Advised multiple Google X projects on causal inference techniques, highlighting significant cross-functional influence and technical guidance.

• Developed a causal inference tool for analyzing streaming data from wearable devices, improving user engagement through precise impact estimation of bug fixes and feature rollouts.

• Analyzed the performance and decay of a model for detecting query intent, contributing to more accurate identification and classification of user needs.
• Developed tools utilizing noisy human ratings as training data, improving the model's ability to learn from diverse and real-world inputs.
• Worked as part of the Query Signals team, demonstrating strong analytical skills and the ability to handle complex data sets.

• Collaborated with a team of economists to design, run, and analyze experiments assessing the effectiveness of advertisements, contributing to the optimization of ad strategies.
• Developed and implemented a comprehensive dashboard for experiment-health and data reporting, enhancing the efficiency and accessibility of data analysis within the team.

Northrop Grumman Corporation is a leader in autonomous systems, cyber, C4ISR, strike, space, logistics, and modernization for global security.

• Developed a Python/Numpy application for simulating and evaluating Phased Array Antennas, enhancing the company's capabilities in satellite communication.
• Transformed the application to leverage multithreading and multiprocessing over a Linux cluster, significantly improving performance and efficiency.
• Created a comprehensive GUI from scratch for data plotting and cluster run monitoring, facilitating better user interaction and monitoring.
• Integrated Tracking Error capabilities into the Phased Array simulator, advancing the accuracy and reliability of simulations.

• Interviewed various engineering sectors to develop wiki capability pages, enhancing knowledge sharing and resource utilization across the company.
• Designed and assisted in the procurement of a next-generation executive conference room and office, leveraging modern technology for improved operational efficiency.
• Collaborated with the Web 2.0 team to develop tools for Northrop Grumman, contributing to the digital transformation and operational efficiency of the company.
• Initiated and proposed a "Business Driven IT" dashboard project, showcasing innovative thinking and proactive problem-solving skills in IT management.