Oluleye Oluwadunsin Stephen

Turning Data into Decisions

Skilled in Excel, Power BI, SQL, and Python β€” with a growing expertise in analytics and machine learning

About Me

I'm a Data Analyst, Data Scientist, Machine Learning Engineer, and Python Developer passionate about transforming complex data into intelligent solutions that solve real-world problems. My expertise spans data analytics, machine learning, business intelligence, and AI-powered application development.With a Bachelor's degree in Computer Science and practical experience gained through internships and freelance projects, I have designed and delivered end-to-end data solutions across healthcare, business analytics, and predictive modeling. My work includes developing machine learning applications for clinical disease prediction, building interactive Power BI dashboards, performing exploratory data analysis, and deploying secure web applications using Python, Streamlit, and Supabase.I enjoy turning raw data into meaningful insights that support informed decision-making. Whether developing predictive models, creating data visualizations, or building scalable analytical applications, I focus on producing solutions that are accurate, practical, and user-friendly.I'm continuously expanding my expertise in artificial intelligence, machine learning, cloud deployment, and modern data engineering while seeking opportunities to contribute to innovative teams and impactful projects.

Skills

Data Analysis & Visualization: Excel, Power BI, TableauProgramming & Scripting: Python (Pandas, NumPy, Matplotlib, Scikit-learn)Databases & Querying: SQL (CRUD operations, joins, aggregations)Statistical Analysis: Correlation, Regression, Hypothesis TestingData Cleaning & Transformation: Power Query, Python, Excel FunctionsMachine Learning (Learning Stage): Classification, Prediction ModelsSoft Skills: Problem-Solving, Storytelling with Data, Communication


Projects

πŸ“Š iPhone Evolution Data AnalysisAnalyzed trends in iPhone models from launch year to latest releasesBuilt an interactive Power BI dashboard showing price changes, camera improvements, storage evolution, and processor advancementsAdded visual storytelling to highlight Apple’s product strategy over timeπŸ“ˆ Facebook Ads CTR & ROI AnalysisWorked with a real-world Facebook Ad campaign datasetCalculated Click-Through Rate (CTR) and Return on Investment (ROI) to evaluate ad performanceCreated data visualizations to identify cost-effective campaignsπŸŽ₯ Netflix Account Sharing Detection (Competition Project)Investigated patterns in viewing behavior to detect account sharingApplied data wrangling, feature engineering, and exploratory analysisProposed solutions for streaming platforms to reduce revenue lossπŸ“Š Trees & Probabilities in ExcelApplied decision trees and probability models in ExcelUsed scenario analysis to support business decision-makingπŸ—Ί Attendance App with QR Scanning (Prototype)Designed a localhost-based attendance management system with QR code scanningIntegrated separate student and admin login functions for better data tracking

### Freelance Data Scientist & Machine Learning Developer* Developed DMD Clinical Space, an AI-powered healthcare platform for predicting diabetes, heart disease, hypertension, and stroke using machine learning.
* Designed and deployed secure web applications using Python, Streamlit, and Supabase, integrating user authentication and interactive prediction workflows.
* Delivered a data analytics project on League of Legends, performing exploratory data analysis, visualization, and insight generation to support data-driven decision-making.
### Codveda Technologies – Data Analyst Intern* Developed machine learning models for regression and classification tasks using Python and Scikit-learn.
* Built interactive Power BI dashboards to monitor key performance indicators and business metrics.
* Automated data preparation and reporting workflows, improving reporting efficiency.
### Future Interns – Data Analytics Intern* Analyzed real-world business and marketing datasets using Python and SQL.
* Built interactive Power BI dashboards to visualize campaign performance, CTR, ROI, and operational metrics.
* Applied statistical analysis and data visualization techniques to communicate actionable insights.
### SIWES Internship – Data Analytics & Machine Learning Track* Performed data cleaning, exploratory data analysis (EDA), feature engineering, and predictive modeling using Python.
* Built multiple interactive Power BI dashboards for business reporting and performance monitoring.
* Strengthened practical skills in SQL, machine learning, and data visualization through real-world projects.
### Sabi Programmers – Data Analytics Trainee* Completed intensive training in Excel, SQL, Power BI, Python, and Machine Learning.
* Applied analytical techniques to solve business case studies and real-world data challenges.
* Developed projects involving dashboard development, predictive analytics, and data storytelling.
---## EducationBachelor of Science (B.Sc.) in Computer Science---## Certifications* Bachelor of Science (B.Sc.) in Computer Science
* Microsoft Power BI Fundamentals
* Microsoft Data Analytics
* Data Analytics Certification – SIWES Program
* Data Science & Machine Learning – Sabi Programmers
* LinkedIn Learning Certifications

What I’m Learning Next
Machine Learning model deployment
Advanced statistical analysisData storytelling best practicesAPI-based data collection