I am a passionate Data Scientist, Machine Learning Engineer, and AI Engineer with a strong focus on leveraging data to drive actionable insights and solve complex problems. Currently working at My Health Integral, I am involved in impactful projects such as predicting healthcare outcomes and improving patient care through advanced machine learning techniques. I am committed to using AI and data science to transform industries and create meaningful solutions. With a drive for continuous learning, I thrive in environments that challenge me to push the boundaries of technology and innovation.
- Created a recommendation engine for healthcare support, integrating collaborative filtering and content-based filtering.
- Technologies used: Python, TensorFlow, scikit-learn, LangChain.
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- Developed a predictive system for diagnosing anaemia in patients based on medical data.
- Technologies used: Python, TensorFlow, scikit-learn.
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- Built an image recognition system utilizing advanced machine learning algorithms for accurate classification.
- Technologies used: Python, TensorFlow, scikit-learn.
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- Developed a predictive model to identify potential churn among customers at PowerCo.
- Technologies used: Python, TensorFlow, scikit-learn.
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- Analyzed governmental educational spending and its impact on student performance across different regions.
- Technologies used: Python, Pandas, Seaborn.
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- Built a predictive model to forecast air quality using historical data and environmental factors.
- Technologies used: Python, TensorFlow, scikit-learn.
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