The journey
Experience
Data Governance Analyst and Data Science/AI Specialist, currently pursuing an MSc in Analytics. Experienced in building enterprise data governance programs from the ground up in regulated healthcare environments, including PCI DSS compliance as an ISA-certified assessor. Strong hands-on background in AI research (agentic LLMs, RAG systems, machine learning, and analytics) applied to real-world policy, climate, and business challenges. Known for clear communication, stakeholder alignment, and delivering scalable, audit-ready solutions.
Jan 2026 — Present · education
MSc Analytics · Georgia Institute of Technology
• Ongoing with a focus on Machine Learning and AI Driven Digital Transformation Technologies
Apr 2025 — Present · work
Data Governance Analyst · Carenet Health
• Designed and implemented the organization’s first enterprise-wide data governance framework, transforming a fragmented environment into a structured, auditable program. • Established enterprise data observability- , discovering, cataloging, and classifying sensitive data (PHI/PII) across databases and file systems at schema level. • Built a centralized data map and enterprise data dictionary, improving visibility into data ownership, access, usage, and purpose; reduced data discovery time from weeks to minutes. • Implemented risk-based data classification and sensitivity tagging, significantly improving audit readiness and regulatory transparency. • Designed standardized data flow models and SOPs governing data intake, processing, storage, sharing, and normalization across departments. • Defined and operationalized data ownership, stewardship, and custodianship roles; helped establish a bi-annual Data Governance Oversight Committee. • Implemented full data lifecycle governance- , including retention, de-identification, and compliant destruction of legacy data; enabled issuance of certified data destruction attestations. • Engineered automation-first governance Links Github LinkedIn Skills Data Governance & Compliance AI & Machine Learning (LLMs, RAG, NLP, Analytics) Automation & Workflow Orchestration Leadership, Problem Solving, and Strategic Thinking Backend & API Development Research, Technical Writing & Stakeholder Communication solutions using internal infrastructure, reducing manual effort and eliminating reliance on third-party tooling. • Served as the company’s sole Internal Security Assessor (ISA), leading PCI DSS compliance, internal audits, SAQs, and enforcement of security controls.
Sep 2024 — Apr 2025 · work
Data & AI Engineer · I'dEffect Limited
• Designed and implemented RAG-powered LLM pipelines using Python, FastAPI, and Google Colab to fine-tune models on proprietary data. • Built a production-ready AI chatbot backend, integrating MiniLM embeddings, OpenAI GPT-4o-mini, session-based memory, and secure data handling. • Optimized chatbot workflows using n8n automation, improving performance and reducing computational overhead. • Designed an automated job scraping and NLP analysis system for Trinidad & Tobago job markets, enabling CV uploads, skill-gap analysis, and interview insights. • Researched and designed AI-powered learning analytics dashboards, leveraging deep learning to identify learning patterns and personalize instruction (Moodle integration).
May 2024 — Aug 2024 · work
Full Stack Web Developer Intern · I'dEffect Limited
• Developed and maintained web applications using React, Next.js, Node.js, and modern web technologies. • Collaborated with designers to deliver intuitive UI/UX experiences and responsive interfaces. • Built and integrated backend services and databases (MongoDB, Supabase). • Produced technical documentation and supported deployments through to production.
May 2024 — Present · work
Data Science Researcher · TTLab
• AI4SIDS: Leading development of an AI-driven disaster resilience proof-of-concept using agentic LLMs and RAG for real-time climate risk management, in collaboration with ODPM. • IEEE CARIBCON 2026 (Lead Author): Authored research proposing an agentic RAG framework for accelerating sustainable development in Small Island Developing States. • Contributed to book chapter abstract submission for “Achieving Climate Action and Sustainable Development Goals (SDGs) Together.” • Developed a machine learning-based foliar disease detection application to improve early agricultural disease identification. • Participated in AI competitions, conferences, and mentorship programs focused on big data and applied machine learning.
- • Spoke and presented at the 21st Caribbean
- Internet Governance Forum, on the topic of Data
- Governance for Caribbean Use and Problem Solving
Sep 2021 — Aug 2024 · education
BSc Computer Science · University of the West Indies - St. Augustine Campus
• Upper Second Class Honours Focus: Data Science and Web Technologies
- Leadership: President, UWI Islamic Society
- (2021–2023)
Sep 2014 — Jun 2021 · education
High School Diploma · Presentation College Chaguanas
Toolbox
Certifications & skills
No made-up percentages — the dot shows how often each tool is actually in my hands.