- π Passionate about uncovering insights from data and driving data-informed strategies.
- π Currently exploring NLP, Statistical Analysis, and Predictive Modeling.
- π Master's in Data Science & Analytics from Royal Holloway University of London.
- π¬ My dissertation project focused on non-invasive COVID-19 detection using machine learning.
- π Skilled in SQL, Python, Power BI, and Data Visualization tools.
- π¨βπ» Check out my portfolio: https://github.com/aryan597
- π¬ Reach me at [email protected]
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COVID-19 Detection from Cough Recordings
- Achieved 96% accuracy using Random Forest for non-invasive detection.
- Engineered features like MFCCs, ZCR, and spectral bandwidth for audio analysis.
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Song Virality Predictor
- Developing a hybrid model combining CNNs and RNNs for audio and social trends analysis.
- Planning to deploy as a real-time web app.