Benjamin D. Hamilton, Ph.D. Email & Phone Number

Seattle, WA, US

First data scientist at a pre-seed startup using Generative Al (GenAI).

GB

• Lead customer-facing technologist collaborating with non-technical delivery teams and clients on delivering customer value through implementation of Generative AI use cases. Navigates ambiguity, manages risks, and.
• Delivered first-in-class client project to draft corporate documents/disclosures using GPT-4 (LLM+RAG), Langchain and Azure Databricks.
• Vetted GenAI use cases for internal and external cases.
• Recognized by 3 directors for outstanding leadership, communication, and delivery.

GB

• Data Science and infrastructure for AI-driven products aligned with PwC's commitment to Diversity & Inclusion, Privacy, Ethical AI, and ESG. Owns vision, roadmaps, and features for data-driven and AI/ML products..
• Identified customer and stakeholder pain points and opportunities for a portfolio of responsible Al, synthetic data generation, and ESG products that fit the business context.
• Oversaw 6 data scientist and engineer reports domestic and offshore while driving projects spanning software engineering, data science and design.
• Influenced top partners including Global Head of Al.
• Overcame critical data challenge at the intersection of audit practice, privacy, and regulation by integrating synthetic data methodologies (GANs, Monte Carlo Simulations) and domain experts, earning stakeholder.
• Built out toolkits, processes, strategy and roadmap for responsible Al and Al governance, launching internal governance product features to meet needs of 15-25 Al developers under high regulatory burden.

GB

• Data science and engineering technical lead on a data team of 9. Work with stakeholders to refine business problems into actionable scopes and deliver research projects and product milestones.My key contributions.
• Delivered rapid-cycle ML models using terabyte-scale datasets as part of product prototypes.
• Architected data and Al cloud infrastructure that anticipated product and team needs, including handling terabyte-scale data containing PII, scalable data analytics, and end-to-end machine learning.
• Owned relationships with Global IT, Microsoft Azure, Neo4J, Databricks and more, leveraging them to improve team's builds from local and ad hoc to online and replicable in 3 - 4 months.
• Spearheaded early adoption of Azure Databricks leading to 100+ users.

Provides data science and decision intelligence consulting to startups, small businesses and non-profits. Collaborates with founders and developers to refine requirements for novel challenges into solutions that innovate businesses.Key highlights of my impact include:⦁ Developed a machine learning model for a startup in commercial real estate to predict.

Woodinville, Washington, US

Provided data science and engineering consulting services to mid-market and public sector clients. Technical lead and senior contributor on dynamic teams. Engaged learning and stretch opportunities to support team and client needs.My key contributions include:⦁ Automated network device anomaly detection and remediation for a major communication company by.

Process Engineering, Unconventional Oil & GasAs the Technical Consultant with focus on Process Engineering, I offered novel high level economic and design solutions to resolve complex operational challenges in midstream unconventional Oil & Gas. I helped deliver process engineering services to customers, on time and within regulatory specifications. In.

In this role I was tasked with independently researching and analyzing industry, market, policy and expert data on the impact of fracking and USA energy independence on manufacturing and exports, especially for the oil & gas value chain. I derived data driven insights from the research, which supported strategic interests in acquisitions and white space.

As an engineering research and development scientist, I used conventional and creative approaches to develop early stage technology to help optimize breakthroughs in chemical industrial processes at a major chemical company. I unified my expertise in engineering principles, chemistry, and research, with data-driven experimental design and A/B testing, to.

I selected a critical project that was part of a multibillion-dollar challenge in the pharmaceutical industry, during which I discovered ways to control the formation of crystals and glasses trapped in ultra-small spaces. I explored the nexus of materials science, applied mathematics and polymer chemistry, creating a predictive model to fabricate copolymer.

Doctor Of Philosophy - Phd, Chemical Engineering

Bachelor Of Science (Honors), Chemical Engineering, Minor In Applied Mathematics