My
Projects
Enhancing Low-Quality Images Using Super-Resolution Convolutional Neural Network (CNN)
Made with:
This project trains an SRCNN model to enhance low-quality images, achieving up to 30% improvement in resolution and clarity. With a dataset of 500 image pairs, the model achieves a PSNR value increase of approximately 25% post-training.
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PDF Query Voice Assistant:
Made with:
Voice-enable your PDF search with 90% noise reduction, 85% accurate speech-to-text conversion, and 95% relevant text matching. NLP, Audio processing and machine learning for efficient document querying.
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YouTube Data Analysis:
Made with:
Utilised YouTube APIs to extract data from various channels, cleaned and loaded it into PostgreSQL. Leveraged Power BI for visualisation and conducted sentiment analysis to identify optimal future content, resulting in a 60% efficiency boost
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Uber-ETL Data Analytics:
Made with:
Uber utilises APIs to extract data, storing it in PostgreSQL and structuring it into dimension tables. Power BI insights drive decision-making and operational efficiency, yielding a remarkable 70% increase in efficiency
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Kaggle Data Cleaning and Analysis:
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Kaggle is an open data science competition platform that hosts datasets and challenges. Kaggle is a great place for data scientists to share their skills, code, and engage in machine learning projects. It’s a community for professionals and enthusiasts. I’m an active Kaggle participant. I’ve completed six projects and am still actively engaged
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Portfolio Website:
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Developed and launched an immersive personal website showcasing educational background, projects, skills, and accomplishments; implemented cutting-edge front-end development tools for an interactive user experience, resulting in a 40% increase in website engagement and a 25% rise in lead conversions
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