Isaac Oresanya's Portfolio
I Work with Data, but I Talk Like a Human
I take complex data, simplify it, and tell clear stories that people actually understand.
👋 Hi, I'm Isaac
I'm a data analyst who loves making sense of messy data and turning it into clear, useful stories. I enjoy building dashboards, exploring patterns, and solving problems with data; sometimes using machine learning or web scraping when needed.I also started Explain the Data, a platform that helps analysts and curious learners understand insights better, not just the tools. The focus is on making data feel clear, not complicated.
My Approach to Data
My goal is always to bridge the gap between raw data and clear understanding. I believe in:✔️ Clarity over complexity: Simple explanations are more powerful than dense jargon.
✔️ Insights over aesthetics: Visualizations should drive understanding, not just look good.
✔️ Practical application: Delivering usable results that address real-world questions.
✔️ Continuous learning: The data world is always evolving, and so am I.
📊 My Projects
A selection of projects showcasing my skills in analysis, visualization, ML, and automation.
Data Analysis & Visualization
Freelancer Job Market Analysis
Explored 26,000+ job listings to uncover trends in required skills, salary expectations, top hiring companies, and popular platforms.
🟦 Python 🟦 SQL 🟪 Scrapy
⬜ Web Scraping ⬜ Market Analysis
✅ Collected data automatically using Scrapy spiders.
✅ Cleaned unstructured text data with Python.
✅ Analyzed pricing and country trends using Python & SQL.
U.S. Small Business Loan Analysis
Analysed over 500,000 loans from the U.S. SBA dataset to identify trends in approvals, interest rates, and loan terms across different states and industries.
🟦 Python 🟦 SQL 🟩 Tableau ⬜ Financial Data
⬜ EDA
✅ Performed Exploratory Data Analysis (EDA) in Python.
✅ Used SQL to analyze financial trends and loan characteristics.
✅ Visualised key factors influencing loan approvals with Tableau.
Analysis of Data Analytics Job Postings
Explored 26,000+ job listings to uncover trends in required skills, salary expectations, top hiring companies, and popular platforms.
🟦 Python 🟦 SQL 🟩 Tableau ⬜ Data Cleaning
⬜ Trend Analysis
✅ Cleaned and processed data using Python (Pandas).
✅ Queried insights from a database using SQL.
✅ Built interactive dashboards with Tableau.
Analysed the global spread and impact of COVID-19 using data from Our World in Data, focusing on continental trends and key metrics.
🟦 Python 🟦 SQL 🟩 Tableau ⬜ Time Series
⬜ Data Transformation
✅ Cleaned and transformed large time-series data with Pandas.
✅ Aggregated trends by continent using SQL queries.
✅ Created visualizations in Tableau to illustrate patterns.
Machine Learning & Automation
Superconductor Material Prediction
Developed Machine Learning models (Random Forest, Voting Classifier) to predict material superconductivity and critical temperature based on chemical formula features.
🟦 Python 🟪 Scikit-learn 🟪 Streamlit
🟨 Machine Learning ⬜ Feature Engineering
✅ Preprocessed materials data using MatMiner.
✅ Engineered relevant features for model input.
✅ Trained and evaluated classification models.
✅ Deployed a simple prediction interface using Streamlit.
Web Scraping Spiders Collection
A collection of Scrapy spiders built to demonstrate web scraping techniques for various websites (Google, Etsy, Twitter, etc.) as part of educational content.
🟦 Python 🟪 Scrapy ⬜ Web Scraping
⬜ Automation ⬜ Educational
✅ Built robust spiders targeting different site structures.
✅ Implemented data storage in multiple formats (CSV, JSON).
✅ Created accompanying beginner-friendly tutorials.
Explain the Data
Helping people understand and communicate data clearly.Explain the Data is all about making data feel useful, not confusing. It's a space built for analysts and curious learners who want to turn numbers into insights. Here, the focus isn’t just on tools, it’s on how to think with data.
Let's connect
Interested in collaborating, have a question, or just want to chat about data? Feel free to reach out!
© 2024 Isaac's Data Portfolio.