Published machine learning work focused on healthcare prediction and applied analytics.
M.S. Data Science and Analytics from FAU, graduated in May 2026.
AI, analytics, healthcare, automation, and public policy technology projects.
Python, SQL, cloud, ML, ETL, dashboards, LLM workflows, and visualization.
OpenTheBooks and MedKick internships across public data and healthcare analytics.
AWS, Cisco, IBM, Google, Microsoft, Anthropic, and DataCamp credentials.
Graduate milestones, published ML research, and practical project outcomes.
Public impact, healthcare systems, civic data, automation, and useful AI products.
Focused on practical systems: clean data flows, reliable analysis, and AI tools people can actually use.
I graduated with an M.S. in Data Science and Analytics from Florida Atlantic University in May 2026. My work centers on AI systems, data engineering, healthcare analytics, automation, and public policy analytics, with a strong interest in building useful products from messy real-world data.
Policy, Data, and Public Impact
I am interested in applying data science and AI to improve public transparency, healthcare operations, policy research, and evidence-based decision-making. My work with operational dashboards, public datasets, and healthcare analytics reflects my focus on building systems that turn raw data into clear, useful insights.
Research interests centered on applied machine learning, public datasets, healthcare analytics, and decision support.
Published work on heart disease prediction using machine learning, with an emphasis on practical risk modeling and explainability.
Explored large public spending datasets through cleaning, validation, SQL reporting, and trend analysis for transparency use cases.
Built analytics workflows and dashboards that help operational teams understand performance, patient workflows, and service quality.
Built Streamlit dashboards integrating GoTo, ADP, and Vonage APIs, automated lead generation with n8n and Apollo, and developed an agentic RAG chatbot with Mistral 7B and LangChain.
Completed cloud-based analytics work covering data collection, cleaning, visualization, and insight generation for data-driven decision making.
Graduate training in analytics, AI, statistical modeling, and data systems.
Academic Highlight
Florida Atlantic University
AI and ML specialization with foundations in programming, systems, analytics, and applied machine learning.
Applied data work across healthcare operations, public datasets, automation, and AI systems.
OpenTheBooks · Internship
The Villages, Florida, United States · Remote
I worked as a Data Analysis Intern at OpenTheBooks, supporting government transparency efforts with large, real-world public spending datasets, data validation, SQL reporting, dashboards, and trend analysis.
MedKick · Internship
West Palm Beach, Florida, United States · Remote
As a Data Science and Analytics Intern at MedKick, I built intelligent dashboards and applied machine learning techniques to healthcare data to uncover clinical insights, improve patient operations, and automate reporting workflows.
Selected systems across AI, analytics, automation, healthcare, and data engineering.
Policy and public transparency project focused on public datasets, spending analysis, data validation, and evidence-based reporting.
Agentic RAG assistant with retrieval, reasoning, and fallback routing for operational knowledge workflows.
Live dashboard for nurse call analytics, KPI monitoring, performance review, and workflow visibility.
Heart disease risk prediction system with model explainability for clearer clinical decision support.
Mental health chatbot with sentiment analysis and emotion visualization for conversation insights.
Slack-integrated NLP dashboard for call summaries, reporting, and team insight delivery.
Prompt benchmarking framework for comparing model behavior, prompt quality, and response patterns.
Automated lead enrichment and scraping workflow using Apollo API, n8n, and structured exports.
Organized around the roles this portfolio targets: Data Engineer, Data Analyst, AI Engineer, and Software Engineer.
Compact view of cloud, analytics, AI, security, and development credentials.
AWS Academy
AWS Academy
AWS Academy
AICTE
Anthropic
Anthropic
IBM
Cisco
DeepLearning.AI
Meta
Microsoft
Milestones that show applied impact across research, engineering, analytics, and public data work.
Graduated from Florida Atlantic University with an M.S. in Data Science and Analytics in May 2026.
Co-authored a machine learning publication focused on heart disease prediction and applied healthcare modeling.
Built dashboards, RAG systems, automation workflows, and policy analytics projects across internships and portfolio work.
Areas that shape the kind of systems I like to build and the problems I want to work on.
Using data products to make public information clearer, easier to inspect, and more useful for decision-making.
Improving operational visibility and patient-centered workflows with analytics, automation, and AI-assisted tools.
Designing practical AI agents, RAG tools, and analytics interfaces that feel useful, fast, and understandable.
Available for data science, AI engineering, data engineering, analytics, and software engineering opportunities.
