Motivated AI/ML developer skilled in natural language processing, computer vision, and recommendation systems. Experienced in model development, data analysis, and deployment of AI solutions for real-world applications. …
Motivated AI/ML developer skilled in natural language processing, computer vision, and recommendation systems. Experienced in model development, data analysis, and deployment of AI solutions for real-world applications. Passionate about applying machine learning to create practical and research-driven innovations.
Built Stock Forecasting and Healthcare Recommendation systems using Python, ARIMA, LSTM, and Streamlit.
Improved forecast accuracy by 30% (RMSE = 6.68) and added interactive dashboards for real-time insights.
Applied sentiment analysis to enhance healthcare feedback and recommendation quality.
Built Stock Forecasting and Healthcare Recommendation systems using Python, ARIMA, LSTM, and Streamlit. Improved forecast accuracy by 30% (RMSE = 6.68) and added interactive dashboards for real-time insights. Applied sentiment analysis to enhance healthcare feedback and recommendation quality.
Built House Price Prediction and Iris Flower Classification models using Python and Scikit-learn.
Improved model accuracy by 15% through data preprocessing and hyperparameter tuning.
Evaluated and visualized model results using Matplotlib and Seaborn for performance analysis.
Built House Price Prediction and Iris Flower Classification models using Python and Scikit-learn. Improved model accuracy by 15% through data preprocessing and hyperparameter tuning. Evaluated and visualized model results using Matplotlib and Seaborn for performance analysis.
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