specializing in Machine learning development. Experienced with all stages of the development cycle for machine learning projects. Well-versed in numerous programming languages including Python, C++, C#, HTML5, CSS. Strong background in project management.
linkedinA hard-working developer with a flair for creating elegant solutions in the least amount of time. I have a solid foundation in various areas of technology, complemented by certificates in PyTorch, networking, and data manipulation. Explore my portfolio to see my projects, including sales forecasting and sentiment analysis, showcasing my ability to leverage advanced technologies for informed decision-making.
Conducted a sales forecasting project using Linear Regression in Python, employing NumPy, pandas, and Matplotlib. Evaluated model performance with metrics like mean squared error, mean absolute error, and R2 score, providing valuable insights for informed decision-making in sales analytics.
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Performed professional sentiment analysis using Python, pandas, Matplotlib, NLTK, and scikit-learn. Extracted nuanced emotions from text for insightful decision-making.
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LipLingo is a deep learning model that enhances automatic lip reading for speech recognition and aiding the hearing impaired. Built on a modified LipNet architecture, it uses CNNs for spatial features, bidirectional LSTMs for temporal modeling, and dense layers for prediction. With a robust TensorFlow pipeline and improved accuracy over existing models, LipLingo advances accessible communication technology.
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