Veronica Eyo

Improved underwriting efficiency by 35% through dynamic quantile-based prioritization, projected to support up to $3.5M in incremental 2026 revenue.

Led development and production enhancement of the ESPR underwriting prioritization model, building CatBoost-based scoring pipelines that classify submissions into actionable A/B/C/D tiers.

Engineered and migrated production scoring infrastructure to Azure SQL/MDSM, designing intake, extraction, feature, and model data layers and implementing reproducible Python/SQL workflows for scoring, model versioning, threshold management, validation, and auditability.

Developed scalable NLP and document-intelligence pipelines using OCR, regex, RAG, and LLM-based extraction to transform unstructured broker correspondence and insurance documents into structured features for downstream ML applications.

Delivered an agentic MCP server-client analytics assistant (EDAbot) that translates natural-language business questions into governed database queries and generates downloadable Excel and PDF outputs, enabling self-service analytics for business users.

Analyzed large-scale CMS datasets (Medicare, Medicaid) using advanced statistical modeling (XGBoost, SHAP) to support data-driven strategy for healthcare organizations.

Delivered actionable insights on cost-effectiveness, quality metrics, and health equity through robust modeling and evaluation, ensuring compliance with CMS, HIPAA, and data governance standards.

Created impactful visualizations and reports using Python, Tableau, and Power BI to communicate findings across both technical and non-technical stakeholders.

Taught Data Science concepts to students via live online sessions with code-alongs, real-life examples, and storytelling.

Provided individualized coaching, reviewed assignments, and delivered constructive feedback to Data Science students.

Mentored and supported learners by providing encouragement based on their progress and reporting on learner progress to school authorities.

Built and deployed Retrieval-Augmented Generation (RAG) systems for dynamic PDF interaction and real-time customer service automation using LangChain, OpenAI, and Gradio.

Fine-tuned Large Language Models (LLMs) for domain-specific applications, enhancing accuracy and contextual relevance in both customer-facing and internal use cases.

Created a suite of Generative AI tools using Hugging Face models for tasks such as text summarization, image captioning, and image generation, showcased via Gradio demos.

Deployed Hugging Face models on AWS SageMaker and containerized RAG evaluation workflows using TruLens with Docker to benchmark and improve LLM performance.

Led end-to-end development of an automated ordering assistant that operated 24/7, integrating LLMs with user workflows for enhanced responsiveness and reliability.

Implemented an automated contract text extraction and signature detection system from client PDFs, resulting in $1.2 million cost saving for the company in 2022 by eliminating the need for additional manual staff.

Conducted Exploratory Data Analysis, Data Wrangling, and Data Transformation using MS Power BI on data from MySQL, PostgreSQL, and SAS databases for a Client Churn Analysis Project.

Developed, validated, and implemented machine learning models on clinical datasets.

Applied NLP libraries (Spacy, NLTK, BERTopic) and techniques to analyze company member reviews and generate insightful topic models.

Utilized AWS SageMaker and Microsoft Azure for repository management and model deployment, supporting the upgrade of existing solutions.

Designed and deployed the innovative Oblique VUE system for undercarriage train inspection, a first-of-its-kind solution.

Successfully developed and designed new inspection perspectives that were retrofitted into existing systems and deployed based on customer specifications.

Developed new Test Procedures and performed electrical testing of systems to ensure proper function and client requirement fulfillment.

Conducted post-construction electrical field inspections to verify compliance with contract documents.

Implemented Ethernet-based Local Area Networks and other communication systems.

Ensured timely delivery of major FEED, DED, and EPC projects for clients including NGPTC, NPDC, and NGC, from conceptual design through to As-Built documentation.

Oversaw the development of comprehensive Instrumentation and Control deliverables, including Design Philosophies, Datasheets, Loop Diagrams, and Installation Details.

Directed proficiency in precise Relief Valve, Control Valve, and Restriction Orifice sizing using specialized software (Crosby, Daniel Orifico) and ensured team mastery of Smart Plant Instrumentation (INtools) and AutoCAD.

Facilitated seamless cross-disciplinary collaboration with other engineering teams to ensure integrated project design and execution.

Successfully completed assigned tasks effectively, surpassing time frame objectives while maintaining superior levels of performance.

Upgraded over 500 systems from Windows XP to Windows Vista in one week using only intern resources, successfully delivering the project through strategic resource management and full lifecycle oversight.

Spearheaded the deployment of Point of Sale (POS) Terminals at various locations.

Facilitated troubleshooting and maintenance efforts by other team members working on computer and printer systems with faulty components.

Provided supervision and mentoring of junior engineering staff, generating weekly performance evaluation reports focused on engineering team.