Projects
Nutrieat application (final year project)– Dart application
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Built a cross-platform nutrition-focused application using FlutterFlow with 95% Dart customization for enhanced functionality.
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Integrated Gemini API for dynamic data retrieval and seamless user interaction.
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Utilized Firebase for backend services and implemented modular design for scalability and maintainability.
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Lung Cancer Research Project- Python
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Leveraged Python’s data analysis libraries, NumPy and Pandas, to analyze large-scale lung cancer datasets.
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Created impactful visualizations using Matplotlib and Seaborn, including heatmaps and scatter plots, to uncover key insights.
Sales Profit Analyzer - Power Bi
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Designed interactive dashboards to visualize US Superstore sales and profit trends.
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Optimized business performance through data cleaning, feature engineering, and k-fold cross-validation techniques.
Real Estate price prediction - Python and Microsoft Excel
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Applied fundamental data science techniques, including data cleaning, outlier detection and removal, feature engineering, dimensionality reduction, and hyperparameter tuning using grid search and k-fold cross-validation.
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