Kimberly H.

About Kimberly H.

Data & Finance Operations professional with hands-on experience in Python automation, Advanced Excel, Tableau, and Power BI, building reporting workflows and translating complex datasets into clear, actionable insights for cross-functional stakeholders.Through a competitive AI/ML fellowship at Cornell Tech, I worked on a real-world engagement with KPMG, developing a predictive model that evaluated energy consumption across 50+ public AI systems. Using dual linear regression analyses and a Pareto frontier framework, I identified the most energy-efficient and productive AI models by job role, occupation, and industry. My technical work spans exploratory data analysis, machine learning model development, financial investments, and executive-ready reporting, with a strong foundation in data governance, automated workflows, dashboard development, and systems-based reporting infrastructure. I\'ve previously worked with PwC as a non-profit consulting extern, supporting the Marine Conservation Institute on nonprofit tax, donor fundraising strategy, and planned-giving frameworks, where I was able to translate financial and organizational public data into executive-ready recommendations for leadership decision-making.What sets me apart is how I approach problems. I do not just solve what is in front of me, but I examine challenges from every angle, connecting technical, operational, and business dimensions to find solutions that are not only effective but built to last. Whether I am debugging a data pipeline, reconciling a complex dataset, or translating a technical finding for a non-technical audience, I bring the same instinct: understand the full picture first, then act with precision. I bring proven ability to operate and lead in fast-paced, high-volume settings, and a consistent track record of communicating complex technical findings to both technical and non-technical audiences. I thrive in project based environments and technical teams where innovation and continuous improvements are key components to success.Tech & Finance Portfolio:

Experience

1. Ai Trainer - Generalist

   Handshake

   Feb 2026 — Present

Education

• Middlesex College

  Visiting Student, Data Processing and Data Processing Technology/Technician

• University of Maryland

  Bachelor of Science - BS, Data Science and Finance (Double Major)

• Edison High School

  High School Diploma