Welcome to My Portfolio

• Developed an image recognition model to classify handwritten digits using a neural network.
• Implemented Python and PyTorch in Google Colab to train and evaluate the model.
• Achieved high accuracy in digit classification through optimized model training.

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• Developed a predictive model to forecast ATP tennis match outcomes by analyzing historical match data and player statistics.
• Engineered features including player rankings, head-to-head records, and surface-specific performance metrics.
• Implemented and compared algorithms like Logistic Regression, Random Forest, and XGBoost to enhance model accuracy.
• Evaluated model performance using accuracy and log-loss metrics, achieving significant predictive power on unseen data.

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• Built a full-fledged e-commerce platform supporting multiple user roles, secure login, chatbot, and smooth navigation.
• Used HTML, CSS, and JavaScript for the frontend and MySQL for backend database management.

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• Analyzed routing protocols for multi-mobile node networks, emphasizing packet forwarding, energy efficiency, and network lifetime.
• Developed and implemented dynamic queue management algorithms to minimize packet loss and improve throughput.
• Produced an executive technical report summarizing findings and recommendations.

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Stanford via Coursera

• Completed lab assignments focused on machine learning and data analysis.
• Used Python libraries like NumPy and Matplotlib for data visualization and numerical computations.
• Implemented classification, regression, and clustering models using Scikit-learn.
• Gained hands-on experience in feature engineering, model evaluation, and performance tuning.

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NPTEL (IIT Madras)

• Explored core mathematical concepts applied in economic analysis.
• Covered functions, derivatives, optimization, and matrix algebra.
• Applied mathematical tools to solve real-world economic problems.

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Stanford via Coursera

• Completed multiple lab assignments focused on machine learning and data analysis.
• Used Python libraries like NumPy, Matplotlib, and PyPlot for data visualization and numerical computations.
• Implemented classification, regression, and clustering models using Scikit-learn.
• Gained hands-on experience in feature engineering, model evaluation, and performance tuning.

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NPTEL

• Explored core mathematical concepts applied in economic analysis.
• Covered topics like functions, derivatives, optimization, and matrices.
• Applied mathematical tools to solve real-world economic problems.

Show credential