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Achievement: Pull Sharkx2

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Achievement: Pull Sharkx2

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Toluwaa-o/README.md

Hi, I'm Toluwalashe Ogunleye

Full Stack & AI Engineer | Data Scientist
🌍 Lagos, Nigeria
📩 asheogunleye02@gmail.com
🌐 Portfolio Website

🚀 About Me

I’m a passionate Full Stack Developer and Data Scientist who builds impactful, scalable, and user-focused applications. My expertise spans MERN stack, Python-based backends, and Data Science/AI solutions.
I have experience delivering software solutions for businesses and integrating AI into real-world products.

🛠️ Technical Skills

Languages:

  • Python, JavaScript, TypeScript, SQL

Frontend:

  • React.js, Next.js, Tailwind CSS, Shadcn/UI

Backend:

  • Node.js, Express, Django, FastAPI, Flask

Databases:

  • PostgreSQL, MySQL, MongoDB, Firebase

Data Science & AI:

  • Pandas, NumPy, Matplotlib, Seaborn, Plotly
  • Scikit-learn, TensorFlow, Keras, Deep Learning, Neural Networks, NLP, AI Agent Development, AI Engineering

Visualization & BI:

  • Power BI, Tableau

DevOps & Tools:

  • Docker, Git, GitHub, Render, Vercel, Heroku

Other:

  • RESTful APIs, API Security, Web Scraping, Web Performance Optimization, WebSockets

🎯 What I’m Working On

  • AI-powered web applications
  • Interactive dashboards for analytics
  • Full stack product development

📫 Let’s Connect!

Portfolio | LinkedIn | Email

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  1. ChatApp ChatApp Public

    JavaScript 1

  2. musica musica Public

    Welcome to Musica, where the world's melodies converge into a symphony of endless possibilities. Musica is more than just a music streaming platform; it's your gateway to a universe of sonic explor…

    JavaScript

  3. Loan-Default-Classification Loan-Default-Classification Public

    Develop a robust machine learning model to accurately classify whether a new loan borrower is likely to default, thereby aiding ABC Bank in minimizing financial risks associated with loan defaults.

    Jupyter Notebook

  4. Weekly-Sales-Forecasting Weekly-Sales-Forecasting Public

    Enhancing Walmart's Operational Efficiency: Achieving Accurate Weekly Sales Predictions with Advanced Regression Modeling

    Jupyter Notebook

  5. Online-Transaction-Fraud-Detection Online-Transaction-Fraud-Detection Public

    The objective of this project is to develop a machine learning model to classify fraudulent online payments accurately.

    Jupyter Notebook

  6. stears-lite-overview stears-lite-overview Public

    Central overview repository for the Stears Lite project — documentation, resources, and links to frontend and backend repositories.