Open to Data Analyst & BI opportunities
I turn complex data into clear decisions.
Graduate data analyst with hands-on experience in healthcare analytics, business intelligence, lead scoring, market intelligence, and predictive modeling. I build practical systems that make data easier to understand, prioritize, and act on.
Tableau executive dashboards
SQL + Python analysis pipelines
Healthcare growth intelligence
Data Analyst & BI Professional
Oluwatoyin Akadiri
Turning complex data into practical business decisions.
Analytics impact
Portfolio 2026
Focused on Tableau, SQL, Python, Excel, KPI design, data cleaning, and stakeholder-ready reporting.
Decision-focused KPI views, filters, and stakeholder-ready summaries.
Structured data cleaning, scoring logic, and repeatable reporting workflows.
Insights translated into outreach, positioning, and operational next steps.
About
Analytics with business context.
I am an M.S. Big Data Analytics candidate with an MBA and practical experience connecting data analysis to business outcomes. During my internship at Medicidiom, I worked across the analytics lifecycle: cleaning data, developing KPI frameworks, building interactive dashboards, conducting competitor research, prioritizing leads, and presenting insights to decision-makers.
My strongest work sits at the intersection of healthcare analytics, business intelligence, growth analytics, and data storytelling. I am especially interested in roles where I can improve reporting quality, operational visibility, and evidence-based decision-making.
Healthcare AnalyticsBusiness IntelligenceData VisualizationGrowth Analytics
Featured portfolio
Four projects that show how I turn data into decisions.
A focused selection across business intelligence, healthcare analytics, lead prioritization, and secure cloud architecture—chosen for relevance, visual clarity, and measurable business value.
Featured · Business intelligence
TableauHealthcare analytics
Lead Intelligence & Scoring Dashboard
Built an end-to-end dashboard for 2,500+ healthcare leads, combining KPI scorecards, source and owner analysis, engagement status, and priority scoring.
- Made lead quality and outreach readiness immediately visible
- Created a focused decision tool for sales prioritization
Tableau · KPI Design · Data Cleaning · Lead Scoring
View interactive case study
Featured · Sales analytics
TableauPython
Top 50 Lead Prioritization & Outreach Optimization
Converted 2,500+ prospect records into a transparent Top 50 action queue using contact completeness, engagement signals, and outreach readiness.
- Replaced subjective selection with repeatable scoring rules
- Mapped every lead to a clear next-best action
Tableau · Python · Segmentation · Sales Operations
View interactive case study
Featured · Python healthcare analysis
110,527 records · 20.19% no-show
PythonHealthcare EDAZerve
Understanding Factors That Influence Missed Medical Appointments
Analyzed more than 110,000 patient appointment records to identify attendance patterns and the factors associated with missed visits.
- Compared behavior across age, support status, SMS reminders, and weekdays
- Translated findings into practical appointment-management recommendations
Python · Pandas · Matplotlib · Exploratory Data Analysis · Healthcare Analytics
View code & visual analysis
AWSHealthcare cloudArchitecture
MyClinic Secure Healthcare Cloud Architecture
Designed a secure, serverless AWS architecture for patient access, appointment workflows, protected records, and authorized clinical updates.
- Connected Route 53, CloudFront, API Gateway, Lambda, and DynamoDB
- Added Cognito, KMS, ACM, WAF, and least-privilege safeguards
AWS · Serverless · Cognito · Lambda · DynamoDB · KMS · WAF
Explore cloud architecture
Explore more
Additional analytics, strategy, and machine-learning work.
Six supporting projects are grouped here so employers can scan the strongest work first and explore deeper when useful.
Explore 6 additional projectsDashboards · Strategy · Machine learning · Data operations
TableauAudience analytics
LinkedIn Performance & Audience Dashboard
Analyzed impressions, reactions, seniority, job functions, industries, and location patterns to support content strategy.
View interactive dashboardMarket intelligenceStrategy
Competitor Pricing & Data Intelligence
Benchmarked 14 competitors across pricing, delivery, AI capability, certification, geography, and B2B positioning.
View strategy case studyExcelGoogle Sheets
Interactive Data Tracking Workbook
Created KPI scorecards, chart summaries, detailed lead views, and clickable navigation for practical daily reporting.
Machine learningAcademic
Student Admission Prediction
Developed a reproducible logistic-regression pipeline with preprocessing, model evaluation, ROC-AUC, and diagnostic visuals.
Machine learningHealthcare
Heart Disease Prediction with KNN
Built and evaluated a KNN classifier on clinical data using precision, recall, F1-score, confusion matrix, and ROC analysis.
Data operationsReporting
Healthcare Data Pipeline & KPI Reporting
Combined fragmented data with SQL and Python, reduced duplicates, and prepared clean records for KPI reporting—cutting manual processing by 40%.
Experience
From analysis to operational impact.
2026 – Present
Data Analytics & Insights Intern
Medicidiom · RemoteDelivered healthcare lead intelligence, competitor pricing analysis, Tableau dashboards, data-cleaning workflows, KPI reporting, lead scoring, and audience-performance analysis. Worked with 2,500+ lead records and translated findings into practical growth and outreach recommendations.
TableauSQLPythonHealthcare BI
2023 – 2024
Junior Business Developer
SUNEV Plast · CyprusQualified 80+ prospects weekly, used CRM filters and market segmentation to grow the pipeline, developed targeted HubSpot sequences, prepared pricing intelligence for sales, and mapped customer journeys to identify churn and retention opportunities.
CRM AnalyticsMarket ResearchHubSpotExcel
2019 – 2024
Senior Liaison Officer
Maducare NGO · CyprusImproved program coordination through reporting templates, stakeholder mapping, referral procedures, multi-agency logistics, and standardized communication across five program areas.
Stakeholder ManagementReportingProcess ImprovementCoordination
Skills
Tools and capabilities.
A practical stack for analysis, modeling, visualization, and stakeholder communication.
Analytics & BI
Tableau, Power BI, Excel, Google Sheets, KPI Development, Dashboard Design, Data Storytelling
Data & Programming
SQL, Python, Pandas, NumPy, Scikit-learn, Data Cleaning, Data Transformation, Data Modeling
Methods
Exploratory Analysis, Predictive Modeling, Segmentation, Lead Scoring, Competitive Analysis, Statistical Analysis
Business
Healthcare Analytics, Growth Analytics, CRM Analytics, Stakeholder Communication, Workflow Optimization, Project Management
Education
Academic foundation.
M.S. Big Data Analytics
Bay Atlantic University · Washington, DC
Master of Business Administration
Bahçeşehir University · Cyprus
B.Sc. Political Science
Adekunle Ajasin University · Nigeria