About

Oluwatoyin Olawale Akadiri

Data Analyst | Big Data Analytics & AI Researcher

Professional profile

Data analyst focused on practical decision support.

Oluwatoyin Olawale Akadiri is a data analyst with graduate training in Big Data Analytics and experience in healthcare analytics, business intelligence, lead scoring, dashboard development, market intelligence, and statistical analysis. He works with SQL, Python, Tableau, Power BI, Excel, and cloud technologies to clean, validate, analyze, and communicate complex data. His applied work focuses on turning fragmented datasets into decision-support tools for stakeholders.

Data analyticsSQL and PythonTableau and Power BIHealthcare analyticsKPI reportingStakeholder communication

Research profile

Trustworthy AI for healthcare and high-impact data systems.

His research focuses on trustworthy and privacy-preserving artificial intelligence for healthcare. He is interested in deep learning, federated learning, multimodal clinical data, agentic and LLM-based systems, explainability, fairness, privacy, and reliable data infrastructure. His published and applied work connects technical methods with safety, usability, and real-world decision-making.

Health AIFederated learningMultimodal learningTrustworthy AIEHR analyticsData reliability

Professional timeline

Education, business experience, and healthcare analytics growth.

A compact timeline of verified milestones, including overlapping work and study periods where applicable.

2016

Bachelor’s Degree

Adekunle Ajasin University

B.Sc. in Political Science, building an analytical, policy, research, and communication foundation.

2019-2024

Senior Liaison Officer

MADUCARE Inc. NGO

Supported community health and education programs through standardized reporting templates, stakeholder mapping, referral procedures, outreach tracking, and program coordination.

2022

Master of Business Administration

Bahçeşehir Cyprus University

Graduate business training in strategy, management, operations, and decision-making.

2023-2024

Junior Business Developer

SUNEV Plast

Qualified 80+ prospects weekly using CRM filters and market segmentation; supported outreach sequences, pricing intelligence, and customer/market analysis for go-to-market decisions.

2026

Data Analytics & Insights Intern

Medicidiom

Analyzed 2,500+ healthcare-industry lead records, built Tableau dashboards, developed a lead-scoring framework, conducted competitor pricing intelligence, built LinkedIn performance reporting, and used SQL, Python, Excel, Google Sheets, and Tableau for data preparation and reporting.

TableauSQLPythonHealthcare BI

Expected 2027

M.S. in Big Data Analytics

Bay Atlantic University

Graduate study focused on data systems, machine learning, analytics, and applied research.

Skills

Grouped capabilities without inflated ratings.

The skills are organized by the way they create value in real analytics work: building, validating, visualizing, storing, and explaining data.

Programming

Python, SQL, Pandas, NumPy, repeatable analysis workflows, data cleaning, transformation, and validation.

Visualization

Tableau, Power BI, Excel, Google Sheets, KPI development, dashboard design, and data storytelling.

Cloud

AWS architecture concepts, serverless design, secure healthcare systems, storage, identity, API, and governance thinking.

Databases

PostgreSQL, MySQL, SQLite, relational modeling, joins, query logic, reporting tables, and data-quality checks.

Analytics

Statistics, predictive modeling, machine learning, healthcare analytics, BI reporting, stakeholder communication, and responsible AI thinking.

Education

Academic foundation.