Regina D. Email & Phone Number

Blending business strategy, data science, and engineering to deliver business intelligence results to clients in fintech, crypto, CPG, fashion, edtech, marketing, and renewables/sustainability.-investment, due diligence-creation and review of financial models-workforce restructuring (especially intergenerational incorporation, digital workforce integration, and retraining)-business process modeling-process improvement redesign-tokenomics and NFT creation-prototype creation-market assessment (viability, scope, strategy, etc)Regularly integrate ML and AI applications when within the comfort and appetite of the end customers and company. Client sizes from Fortune 500 to working with startups.

Reduced labor in client support services EMEA subgroup by 75%.Documented processes throughout the organization for data flows and designed system to blend legacy software and new offering requirements for better business intelligence and workforce maximization. Analyzed trade execution slippage calculation and reporting alternatives used in customer, regulatory, and stakeholder reporting. Collaborated on the back end big data warehousing and engineering for operations data storage and architecture.

Research and development of deep tech projects, including data analysis, grant strategy and writing, and technology writing for peer review and publication. Some applications include medical devices, gaming technologies, and sustainability agriculture technologies. Many projects blended material and fabrication techniques with software and data enablement.

Created the company's initial internal software platform: ML enabled process end to end for R&D to operations to customer experience and financial/regulatory reporting.

Washington Dc-Baltimore Area

Created an NLP application to dramatically shorten the time required to identify new client capture opportunities.Proposed a DoD project for global resource allocation.

Full time researcher building novel AI applications from scratch for robotics, operational decision support systems, and human-machine interface systems.

Master Of Mechanical Engineering

Bachelor Of Engineering - Be