Open to data analytics, healthcare analytics, BI, and responsible AI opportunities
Oluwatoyin Olawale Akadiri
Data Analyst | Big Data Analytics & AI Researcher
I build data-driven solutions that help organizations make better decisions through Business Intelligence, Healthcare Analytics, Machine Learning, and Responsible Artificial Intelligence.
BI DashboardsHealthcare AnalyticsML ModelingAI Research
Selected impact
Concise proof of analytics, research, and implementation depth.
Featured portfolio
Four projects that show business value, technical depth, and visual storytelling.
These four projects are intentionally featured because they are visual, employer-friendly, and show a strong mix of business intelligence, healthcare analytics, Python analysis, and secure cloud architecture.
TableauHealthcare analyticsFeatured
Lead Intelligence and Scoring Dashboard
Interactive dashboard for KPI scorecards, lead quality, contact completeness, engagement, and outreach readiness.
- Turns raw lead records into an action-ready prioritization workflow
- Embedded Tableau view gives employers a fast hands-on review
Tableau · Excel · SQL · Python · Lead Scoring
View dashboard 
TableauAudience analyticsGrowth insight
LinkedIn Performance and Audience Dashboard
Audience and content-performance reporting across impressions, reactions, seniority, job functions, industries, and locations.
- Connects content metrics to stakeholder engagement strategy
- Uses visual segmentation to explain audience composition clearly
Tableau · KPI Design · Audience Analytics · Data Visualization
View dashboard 
PythonHealthcare analyticsCase study
Medical Appointment No-Show Analysis
Explored factors associated with missed medical appointments and translated findings into operational outreach recommendations.
- Analyzed 110,527 public appointment records
- Includes downloadable Python code and six visual analysis views
Python · Pandas · Matplotlib · Scikit-learn
View case study 
AWSCloud architectureSecurity
MyClinic Secure Healthcare Cloud Architecture
Secure serverless patient-portal architecture covering identity, API orchestration, compute, storage, encryption, edge delivery, and WAF controls.
- Shows system thinking beyond dashboards and analysis notebooks
- Communicates healthcare security and scalability in a visual map
AWS Route 53 · CloudFront · S3 · API Gateway · Lambda · DynamoDB
View architecture Professional highlights
Applied analytics experience with a research foundation.
A quick view of my current focus, professional timeline, and the way I connect business questions with data-driven solutions.
Currently
Current focus
- GraduateM.S. in Big Data AnalyticsGraduate study focused on data systems, machine learning, and applied analytics.
- BIHealthcare dashboardsBuilding Tableau and reporting workflows that support lead intelligence and stakeholder decisions.
- AITrustworthy AI researchResearching privacy-preserving, explainable, and responsible AI for high-impact data environments.
- OpenData analytics opportunitiesOpen to Data Analyst, BI Analyst, Healthcare Analytics, and responsible AI research roles.
Timeline
Professional timeline
- Bachelor’s DegreeAnalytical, policy, and research foundation.
- Master of Business AdministrationBusiness strategy, operations, and management training.
- MedicidiomData analytics and business intelligence internship experience.
- M.S. Big Data AnalyticsGraduate study, expected completion.
Role fit
Where I create value
I connect stakeholder questions to clean data pipelines, visual dashboards, transparent analysis, and responsible AI thinking.
Data AnalystBusiness Intelligence AnalystBI DeveloperSQL AnalystETL / Data Pipeline AnalystReporting & KPI AnalystHealthcare Data AnalystTableau / Power BI Dashboard DeveloperAnalytics EngineerJunior Data EngineerMachine Learning AnalystAI Research Assistant
SQLPythonTableauPower BIMachine LearningResponsible AI
Research snapshot
Research remains one click away.
My research interests focus on trustworthy, privacy-preserving, and generalizable AI systems for healthcare and other high-impact data environments.
Trustworthy AI
Explainability, fairness, privacy, and reliable AI evaluation for high-stakes decision support.
Federated & privacy-preserving learning
Model collaboration without unnecessary centralization of sensitive data.
Healthcare data systems
Analytics workflows that connect clinical, operational, and multimodal data signals responsibly.
Personal Philosophy
Technically rigorous, ethically responsible, decision-focused.
I believe the most valuable data solutions are technically rigorous, ethically responsible, and designed to improve real-world decision-making.
Featured Publication
Privacy-preserving data management and collaborative intelligence.
One representative paper is highlighted first, with the complete publication list available on the Publications page.
2025Peer reviewed
Collaborative Intelligence Databases (CID): Harnessing AI for Privacy-Preserving Multi-Source Data Management
Journal: Global Journal of Engineering and Technology Advances, 24(3), 406–416.
Research on privacy-preserving, multi-source data collaboration using AI-based access control, federated learning, differential privacy, and related techniques.
Professional affiliations
Academic, industry, and research profile anchors.
Presented as professional context only; this does not imply endorsement by any organization.
Bay Atlantic University
Graduate study and academic excellence recognition.
Medicidiom
Data analytics, BI, lead intelligence, and market intelligence internship experience.
ORCID
Persistent researcher identifier connected to the academic profile.
Let’s work together
Need an analyst who connects data, research, and decisions?
I am open to conversations about data analytics roles, healthcare analytics, business intelligence, research collaboration, doctoral opportunities, technical writing, and responsible AI projects.