📁 Portfolio Projects

A showcase of applied machine learning, deep learning, and data science projects.

🏠 House Price Prediction with XGBoost

Built a regression model using advanced techniques and exploratory data analysis (EDA) to estimate housing prices based on key features like area, quality, and neighborhood.

📄 View Summary PDF 🔗 GitHub

🧠 Facial Keypoints Detection with CNN

Trained a deep learning model to locate facial landmarks for biometric tasks and facial analysis. Achieved RMSE of 0.0230 using Keras CNN and image augmentation.

📄 View Summary PDF 🔗 GitHub

📊 Dynamic Data Dashboard

Created interactive dashboards using Plotly, Pandas, and Streamlit to visualize trends and anomalies from business data in real time.

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📉 Time Series Forecasting Tool

Implemented a forecasting tool to predict future trends using ARIMA and LSTM models. Great for sales, demand, and finance planning.

📈 Launch Tool