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Olindo09/README.md

👋 Hi, I’m Ornab Olindo (Oli)

Welcome to my GitHub profile!
I’m a Data & Business Intelligence Professional with expertise in Machine Learning, Predictive Analytics, and Business Insights. My work combines software engineering rigor with data-driven decision making, spanning projects in healthcare, urban analytics, finance, and operations.

🔹 Core Skills: Power BI, SQL (MySQL, T-SQL), DAX, Python (ML/AI), SAS, ETL Pipelines, Forecasting, Data Modeling, Database Design
🔹 Focus Areas: Predictive Analytics • Public Sector Insights • Business Intelligence • Applied Machine Learning • Data Warehousing


📊 Predictive Analytics & Machine Learning


🏥 Health & Social Analytics


🌆 Urban data Analytics


🍺 Business & Industry Analytics


🛠️ Experiments, Tools & Other Work


💡 I’m passionate about turning complex data into clear, actionable insights.
🚀 Currently building expertise in SQL database solutions, advanced ML models, and BI consulting.

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  1. Breast-Cancer-Classification.- Breast-Cancer-Classification.- Public

    💡 Machine learning project for classifying breast cancer tumors (malignant vs. benign) using the Wisconsin Diagnostic dataset with multiple models and performance evaluation.

    Jupyter Notebook

  2. Crime-Statistics-and-Predictions-Toronto-GTA Crime-Statistics-and-Predictions-Toronto-GTA Public

    📊 Analysis and prediction of Toronto crime trends (2014–2023) using Power BI dashboards and machine learning models.

  3. Design-Sample Design-Sample Public

    Interactive financial analysis dashboard with KPI cards, drill-down charts, and a clean modern design for clarity and scalability.

  4. House-Damage-Prediction House-Damage-Prediction Public

    🏠 End-to-end TensorFlow 1.x pipeline for training and validating SSD MobileNet V2 object detection on custom PASCAL-VOC data, with Colab notebooks for dataset prep, training, and inference.

    Jupyter Notebook

  5. Toronto-Crime-Predictions Toronto-Crime-Predictions Public

    🔎 Toronto crime analysis & forecasting with Python — EDA, geospatial mapping, and predictive ML models (Random Forest, Gradient Boosting, XGBoost).

    Jupyter Notebook

  6. Food-Clearance-Ecom-MySQL-database Food-Clearance-Ecom-MySQL-database Public

    Food Clearance is a Laravel (PHP) web application with a MySQL database, built using Blade templates, Bootstrap, Composer, and NPM. It helps reduce food waste by allowing companies to upload near-e…