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FemiJames070/README.md

Hi there, I'm Femi James. 👋

Data & Business Analyst | Integrated AI Specialist

Portfolio   LinkedIn

👨‍💻 About Me

I am a data professional based in Canada, specializing in the intersection of data analytics and artificial intelligence. I focus on managing the full data lifecycle, from engineering automated ETL/ELT pipelines to delivering actionable, predictive insights for stakeholders.

My goal is to transform complex datasets into scalable, automated solutions that drive operational efficiency and informed decision-making.

  • 🔭 Currently: Building data-driven applications and prototyping analytical approaches using the CRISP-DM framework.
  • 🎓 Background: Post-Graduate Certificates in Data Analytics and Integrated Artificial Intelligence (SAIT).
  • 💬 Ask me about: SQL, Python, Power BI, and transitioning manual workflows into proactive enterprise models.

🛠️ Technical Skills

Data & Engineering AI & Analytics Cloud & MLOps
Python Django PyTorch Scikit-Learn Docker Kubernetes
PostgreSQL Redis Pandas OpenCV MLflow Git

🏆 Featured Projects

♻️ MESS Tracker

AI-Driven Platform for Waste Management

A data-centric Flask application designed to optimize logistics and streamline waste management processes using predictive modeling, NLP, and time-series analysis.

  • Stack: Python, Flask, Machine Learning

🏥 StrokeRisk AI System

Clinical Decision Support Tool

A predictive analytics tool built to assist with clinical decision-making, utilizing machine learning models and MLflow for reliable experiment tracking.

  • Stack: Python, Streamlit, MLflow, Scikit-Learn

📬 Let's Connect

I am currently open to new opportunities in Data Analysis, Business Intelligence, and Junior Data Science roles.

Email Me • LinkedIn

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  1. femijames070.github.io femijames070.github.io Public

    The Technical Portfolio of Oluwafemi (Femi) James. Showcasing End-to-End AI Operating Systems, Multi-Tenant SaaS Architectures, and MLOps Governance-as-Code.

    SCSS 1

  2. StrokeRisk_Tool StrokeRisk_Tool Public

    Cloud-based stroke risk prediction using ensemble ML, SHAP explainability, and a human-centered Streamlit interface, with balanced training and continuous fairness monitoring.

    Python 1

  3. Penguin_Species_Predictor_ML_Application Penguin_Species_Predictor_ML_Application Public

    An interactive Streamlit web application that uses a Random Forest classifier to predict penguin species based on real-time user inputs.

    Python 1

  4. Computer_Vision_Brain_Tumour_Detection Computer_Vision_Brain_Tumour_Detection Public

    AI-assisted medical imaging tool: A deep learning Computer Vision model built to detect brain tumors from MRI scans with high clinical precision.

    Jupyter Notebook 1

  5. NLP_Supervised_vs._Unsupervised_Learning NLP_Supervised_vs._Unsupervised_Learning Public

    A comparative NLP analysis contrasting supervised text classification (SVM, LSTM) with unsupervised clustering and topic modeling (K-Means, LDA) across subjective and technical datasets.

    Jupyter Notebook 1

  6. Stock_Price_Predictions_-RNN-LSTM-_GOOGL Stock_Price_Predictions_-RNN-LSTM-_GOOGL Public

    Time-series forecasting repository utilizing TensorFlow and Keras to predict GOOGL stock differentials. This project compares the architectural efficiency of standard RNNs against gated networks (L…

    Jupyter Notebook 1